# Core.Today AI API — LLM Models (Chat Completions)

> OpenAI-compatible chat completion models (GPT, Claude, Gemini, ...) proxied through the Core.Today LLM gateway with credit-based billing.

Source: https://console.core.today/docs/llm
This file: https://console.core.today/llms/llm.txt
All models: https://console.core.today/llms.txt

## API Usage (OpenAI-compatible)

Base URL: https://api.core.today
Auth header: Authorization: Bearer YOUR_API_KEY
Endpoint: POST /v1/chat/completions (see each model's endpoint below)

## Models (45)

### Claude Haiku 4.5 — `claude-haiku-4-5`

Fast, cost-effective model for everyday tasks. Great balance of speed, intelligence, and cost for high-volume applications.

- Provider: Anthropic
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 200,000 tokens / Max output: 8,192 tokens
- Token pricing (per 1M): input 1,858 credits, output 9,290 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array), max_tokens (integer)
- Optional params: temperature=1.0
- Example input:
```json
{
  "model": "claude-haiku-4-5",
  "max_tokens": 500,
  "messages": [
    {
      "role": "user",
      "content": "What are the main benefits of renewable energy?"
    }
  ]
}
```
- Full docs: https://console.core.today/docs/models/claude-haiku-4-5

### Claude Opus 5 — `claude-opus-5`

Anthropic's latest flagship Opus model, with a 1M-token context window by default and 128K max output tokens. Same pricing as Opus 4.5–4.8 ($5/$25 per M tokens) with prompt caching (read $0.50/M, write $6.25/M) and web search. Compatible with the Anthropic Messages and OpenAI Chat Completions formats.

- Provider: Anthropic
- Credits: 5 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 46,450 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array)
- Optional params: max_tokens=4096, stream=false
- Example input:
```json
{
  "model": "claude-opus-5",
  "messages": [
    {
      "role": "system",
      "content": "You are a principal research analyst. Provide rigorous, source-aware analysis."
    },
    {
      "role": "user",
      "content": "Given this corpus of quarterly reports, identify the three biggest emerging risks and quantify their exposure."
    }
  ],
  "max_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/claude-opus-5

### Claude Opus 4.8 — `claude-opus-4-8`

Anthropic's most capable Opus-tier model, with a 1M-token context window (200K on some surfaces), 128K max output tokens, and knowledge cutoff to January 2026. Builds on Opus 4.7 with stronger long-horizon agentic coding, better tool triggering, and adaptive thinking that reasons only when a turn needs it. Compatible with the Anthropic Messages and OpenAI Chat Completions formats.

- Provider: Anthropic
- Credits: 5 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 46,450 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array)
- Optional params: max_tokens=4096, stream=false
- Example input:
```json
{
  "model": "claude-opus-4-8",
  "messages": [
    {
      "role": "system",
      "content": "You are a principal research analyst. Provide rigorous, source-aware analysis."
    },
    {
      "role": "user",
      "content": "Compare the safety and capability trade-offs of frontier closed-weight models versus open-weight alternatives for enterprise deployment in 2026, with mitigations."
    }
  ],
  "max_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/claude-opus-4-8

### Claude Opus 4.7 — `claude-opus-4-7`

Anthropic's latest flagship model with reliable knowledge cutoff to January 2026 and 128K max output tokens. Builds on Opus 4.6 with improved reasoning, coding, and instruction-following while staying compatible with the Anthropic Messages and OpenAI Chat Completions formats.

- Provider: Anthropic
- Credits: 5 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 200,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 46,450 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array)
- Optional params: max_tokens=4096, stream=false
- Example input:
```json
{
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "system",
      "content": "You are a principal research analyst. Provide rigorous, source-aware analysis."
    },
    {
      "role": "user",
      "content": "Compare the safety and capability trade-offs of frontier closed-weight models versus open-weight alternatives for enterprise deployment in 2026, with mitigations."
    }
  ],
  "max_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/claude-opus-4-7

### Claude Opus 4.6 — `claude-opus-4-6`

Anthropic's most capable model. Delivers breakthrough performance in reasoning, coding, and complex analysis with enhanced safety and instruction following.

- Provider: Anthropic
- Credits: 5 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 200,000 tokens / Max output: 32,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 46,450 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array)
- Optional params: temperature=1.0, max_tokens=4096, stream=false
- Example input:
```json
{
  "model": "claude-opus-4-6",
  "messages": [
    {
      "role": "system",
      "content": "You are a research analyst with expertise in technology and economics."
    },
    {
      "role": "user",
      "content": "Provide a comprehensive analysis of how large language models are transforming software development practices, including potential risks and mitigation strategies."
    }
  ],
  "temperature": 0.7,
  "max_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/claude-opus-4-6

### Claude Opus 4.5 — `claude-opus-4-5`

Anthropic's most powerful model for highly complex tasks. Exceptional at research, analysis, and creative projects requiring deep expertise.

- Provider: Anthropic
- Credits: 5 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 200,000 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 9,290 credits, output 46,450 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array), max_tokens (integer)
- Optional params: system, temperature=1.0
- Example input:
```json
{
  "model": "claude-opus-4-5",
  "max_tokens": 4000,
  "system": "You are a world-class researcher with deep expertise across multiple domains.",
  "messages": [
    {
      "role": "user",
      "content": "Provide a comprehensive analysis of recent advances in quantum error correction, including implications for practical quantum computing."
    }
  ]
}
```
- Full docs: https://console.core.today/docs/models/claude-opus-4-5

### Claude Sonnet 5 — `claude-sonnet-5`

Anthropic's newest Sonnet model, tuned for the best balance of speed, cost, and intelligence. Features a 1M-token context window, 64K max output tokens, and knowledge cutoff to August 2025. Supports adaptive thinking that reasons only when a turn needs it, vision, and tool use. Compatible with the Anthropic Messages and OpenAI Chat Completions formats.

- Provider: Anthropic
- Credits: 4 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 1,000,000 tokens / Max output: 64,000 tokens
- Token pricing (per 1M): input 5,574 credits, output 27,870 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array)
- Optional params: max_tokens=4096, stream=false
- Example input:
```json
{
  "model": "claude-sonnet-5",
  "messages": [
    {
      "role": "system",
      "content": "You are a research analyst. Provide structured, source-aware analysis."
    },
    {
      "role": "user",
      "content": "Summarize the key findings and open questions from this 200-page technical report and flag any inconsistencies."
    }
  ],
  "max_tokens": 6000
}
```
- Full docs: https://console.core.today/docs/models/claude-sonnet-5

### Claude Sonnet 4.5 — `claude-sonnet-4-5`

Anthropic's most intelligent and capable Sonnet model. Best-in-class for complex reasoning, nuanced understanding, and coding tasks with exceptional instruction following.

- Provider: Anthropic
- Credits: 4 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 200,000 tokens / Max output: 16,384 tokens
- Token pricing (per 1M): input 5,574 credits, output 27,870 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array), model (string), max_tokens (integer)
- Optional params: system, temperature=1.0, stream=false, tools
- Example input:
```json
{
  "model": "claude-sonnet-4-5",
  "max_tokens": 4000,
  "system": "You are an expert analyst. Provide detailed, structured analysis.",
  "messages": [
    {
      "role": "user",
      "content": "Analyze the key themes and implications of this research paper: [paper text]"
    }
  ]
}
```
- Full docs: https://console.core.today/docs/models/claude-sonnet-4-5

### Claude Sonnet 4 — `claude-sonnet-4`

Balanced Sonnet 4 model offering strong reasoning and coding abilities at an efficient price point. Ideal for everyday production workloads that need a good mix of speed and intelligence.

- Provider: Anthropic
- Credits: 3 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 200,000 tokens / Max output: 16,384 tokens
- Token pricing (per 1M): input 5,574 credits, output 27,870 credits
- Endpoint: POST /llm/anthropic/v1/messages
- Required params: messages (array), model (string), max_tokens (integer)
- Optional params: temperature=1.0, stream=false, system, top_p=0.999
- Example input:
```json
{
  "model": "claude-sonnet-4",
  "max_tokens": 2000,
  "system": "You are a helpful assistant that provides clear and concise answers.",
  "messages": [
    {
      "role": "user",
      "content": "Explain the key differences between microservices and monolithic architecture, with pros and cons of each."
    }
  ]
}
```
- Full docs: https://console.core.today/docs/models/claude-sonnet-4

### Gemini 3.5 Flash — `gemini-3.5-flash`

Google's latest Flash-tier workhorse model. Flat pricing across all input modalities (text, image, video, audio, PDF) at $1.50/$9 per million tokens with no long-context premium, a 1M token context window, and 65,536 max output tokens. Cached inputs get a 90% discount.

- Provider: Google
- Credits: 2 (per request)
- Speed: fast / Quality: high
- Context: 1,000,000 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 2,787 credits, output 16,722 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, max_tokens, response_format, stream=false
- Example input:
```json
{
  "model": "gemini-3.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the attached contract PDF and list every deadline it mentions."
    }
  ],
  "max_tokens": 2000
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.5-flash

### Gemini 3.1 Flash Image Preview — `gemini-3.1-flash-image-preview`

Gemini 3.1 Flash with native image generation capabilities. Can generate images directly in chat responses alongside text. Features separate pricing for text and image output tokens.

- Provider: Google
- Credits: 500 (per request)
- Speed: fast / Quality: high
- Context: 131,072 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 929 credits, output 5,574 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, stream=false
- Example input:
```json
{
  "model": "gemini-3.1-flash-image-preview",
  "messages": [
    {
      "role": "user",
      "content": "Explain the concept of neural style transfer in simple terms."
    }
  ],
  "max_tokens": 1000,
  "temperature": 0.7
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.1-flash-image-preview

### Gemini 3.1 Flash Lite — `gemini-3.1-flash-lite`

Stable release of the ultra-lightweight Gemini 3.1 Flash Lite. The most cost-effective Gemini model at $0.25/$1.50 per million tokens, with cached input (90% discount), audio input, and batch (50% discount) support. Ideal for high-throughput, budget-conscious applications.

- Provider: Google
- Credits: 1 (per request)
- Speed: fast / Quality: standard
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 464 credits, output 2,787 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, response_format, stream=false
- Example input:
```json
{
  "model": "gemini-3.1-flash-lite",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following text as: spam, not_spam. Respond with only the label."
    },
    {
      "role": "user",
      "content": "Congratulations! You have been selected for a special prize. Click here to claim now!"
    }
  ],
  "max_tokens": 50,
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.1-flash-lite

### Gemini 3.1 Flash Lite Preview — `gemini-3.1-flash-lite-preview`

Ultra-lightweight variant of Gemini 3.1 Flash. The most cost-effective Gemini model with support for cached input and audio input. Ideal for high-throughput, budget-conscious applications.

- Provider: Google
- Credits: 100 (per request)
- Speed: fast / Quality: standard
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 464 credits, output 2,787 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, stop, response_format, presence_penalty=0, frequency_penalty=0, seed, stream=false
- Example input:
```json
{
  "model": "gemini-3.1-flash-lite-preview",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following text as: spam, not_spam. Respond with only the label."
    },
    {
      "role": "user",
      "content": "Congratulations! You have been selected for a special prize. Click here to claim now!"
    }
  ],
  "max_tokens": 50,
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.1-flash-lite-preview

### Gemini 3.1 Flash Live Preview — `gemini-3.1-flash-live-preview`

Gemini 3.1 Flash optimized for real-time interactions and live streaming scenarios. Features low-latency responses with audio input support at dedicated pricing.

- Provider: Google
- Credits: 300 (per request)
- Speed: fast / Quality: high
- Context: 131,072 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 1,394 credits, output 8,361 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, stream=true
- Example input:
```json
{
  "model": "gemini-3.1-flash-live-preview",
  "messages": [
    {
      "role": "system",
      "content": "You are a real-time assistant. Respond quickly and concisely."
    },
    {
      "role": "user",
      "content": "What are the key differences between HTTP/2 and HTTP/3?"
    }
  ],
  "max_tokens": 1000,
  "stream": true
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.1-flash-live-preview

### Gemini 3.1 Pro Preview — `gemini-3.1-pro-preview`

Google's latest and most capable Gemini model in preview. Features dynamic pricing that adjusts based on context length, with enhanced pricing for inputs over 200K tokens.

- Provider: Google
- Credits: 500 (per request)
- Speed: medium / Quality: ultra
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 3,716 credits, output 22,296 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, stop, response_format, presence_penalty=0, frequency_penalty=0, seed, stream=false
- Example input:
```json
{
  "model": "gemini-3.1-pro-preview",
  "messages": [
    {
      "role": "user",
      "content": "Analyze the current state of quantum error correction research and identify the most promising approaches for achieving fault-tolerant quantum computing by 2030."
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.5
}
```
- Full docs: https://console.core.today/docs/models/gemini-3.1-pro-preview

### Gemini 3 Flash — `gemini-3-flash`

Google's most advanced reasoning model with state-of-the-art multimodal understanding, PhD-level reasoning, and leading coding performance.

- Provider: Google
- Credits: 500 (per request)
- Speed: medium / Quality: ultra
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 929 credits, output 5,574 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens
- Example input:
```json
{
  "model": "gemini-3-flash",
  "messages": [
    {
      "role": "user",
      "content": "A researcher has 5 compounds. Compound A reacts with B to form C. C reacts with D only in the presence of a catalyst E. If only 3g of E is available and each reaction consumes 1g of catalyst, what is the maximum yield of the final product if we start with 10g each of A, B, and D?"
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.5
}
```
- Full docs: https://console.core.today/docs/models/gemini-3-flash

### Gemini 3 Pro Image Preview — `gemini-3-pro-image-preview`

Google's premium image generation model within the Gemini 3 Pro family. Generates high-quality images directly in chat with the highest fidelity among Gemini image models. Image output tokens are priced at 10x text output tokens.

- Provider: Google
- Credits: 500 (per request)
- Speed: medium / Quality: ultra
- Context: 65,536 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 3,716 credits, output 22,296 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, top_p=0.95, max_tokens, stream=false
- Example input:
```json
{
  "model": "gemini-3-pro-image-preview",
  "messages": [
    {
      "role": "user",
      "content": "Explain the principles of color theory and how they apply to digital design."
    }
  ],
  "max_tokens": 2000,
  "temperature": 0.7
}
```
- Full docs: https://console.core.today/docs/models/gemini-3-pro-image-preview

### Gemini 3 Pro Preview — `gemini-3-pro-preview`

Google's most powerful Gemini model in preview. Features breakthrough reasoning, coding, and multimodal capabilities with the largest context window.

- Provider: Google
- Credits: 4 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 3,716 credits, output 22,296 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, max_tokens
- Example input:
```json
{
  "model": "gemini-3-pro-preview",
  "messages": [
    {
      "role": "user",
      "content": "Analyze the architectural differences between transformer and state-space models, and discuss their implications for future AI system design."
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.7
}
```
- Full docs: https://console.core.today/docs/models/gemini-3-pro-preview

### Gemini 2.5 Flash — `gemini-2.5-flash`

Google's fast and efficient model with built-in thinking capabilities. Great balance of speed, reasoning, and cost for high-volume applications.

- Provider: Google
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 557 credits, output 4,645 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1.0, top_p=0.95, max_tokens, stop, response_format, presence_penalty=0, frequency_penalty=0, seed, stream=false
- Example input:
```json
{
  "model": "gemini-2.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "A train leaves station A at 9 AM traveling at 60 mph. Another train leaves station B (300 miles away) at 10 AM traveling toward A at 80 mph. When and where will they meet?"
    }
  ],
  "max_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gemini-2.5-flash

### Gemini 2.5 Pro — `gemini-2.5-pro`

Google's most capable model with state-of-the-art reasoning and 1M token context. Excels at complex coding, math, and multi-document analysis.

- Provider: Google
- Credits: 3 (per 1K tokens (avg))
- Speed: medium / Quality: ultra
- Context: 1,048,576 tokens / Max output: 65,536 tokens
- Token pricing (per 1M): input 2,322 credits, output 18,580 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1.0, top_p=0.95, max_tokens, stop, response_format, presence_penalty=0, frequency_penalty=0, seed, stream=false
- Example input:
```json
{
  "model": "gemini-2.5-pro",
  "messages": [
    {
      "role": "user",
      "content": "Analyze this entire codebase for architectural issues, security vulnerabilities, and performance bottlenecks: [code files]"
    }
  ],
  "max_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/gemini-2.5-pro

### Gemini 2.0 Flash — `gemini-2.0-flash`

Google's fastest and most capable model. Features a massive 1M token context window, native multimodal support, and real-time capabilities.

- Provider: Google
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 1,048,576 tokens / Max output: 8,192 tokens
- Token pricing (per 1M): input 186 credits, output 743 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1.0, max_tokens, stream=false
- Example input:
```json
{
  "model": "gemini-2.0-flash",
  "messages": [
    {
      "role": "system",
      "content": "You are a document analyst. Provide comprehensive analysis."
    },
    {
      "role": "user",
      "content": "Analyze this entire codebase and identify potential security vulnerabilities: [code files]"
    }
  ],
  "max_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gemini-2.0-flash

### Gemini 2.0 Flash Lite — `gemini-2.0-flash-lite`

Ultra-lightweight version of Gemini 2.0 Flash optimized for maximum speed and minimal cost. Perfect for high-volume, latency-sensitive applications.

- Provider: Google
- Credits: 0.5 (per 1K tokens (avg))
- Speed: fast / Quality: standard
- Context: 1,048,576 tokens / Max output: 8,192 tokens
- Token pricing (per 1M): input 139 credits, output 557 credits
- Endpoint: POST /llm/gemini/v1beta/openai/chat/completions
- Required params: messages (array)
- Optional params: temperature=1, max_tokens
- Example input:
```json
{
  "model": "gemini-2.0-flash-lite",
  "messages": [
    {
      "role": "system",
      "content": "Classify the sentiment of the text as positive, negative, or neutral. Respond with just the label."
    },
    {
      "role": "user",
      "content": "The product works great but the delivery was slow."
    }
  ],
  "max_tokens": 10,
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gemini-2.0-flash-lite

### Gemini Embedding 001 — `gemini-embedding-001`

Google's text embedding model for generating vector representations. Optimized for semantic search, clustering, and similarity tasks.

- Provider: Google
- Credits: 0.1 (per 1K tokens)
- Speed: fast / Quality: high
- Context: 2,048 tokens / Max output: 0 tokens
- Token pricing (per 1M): input 300 credits, output 0 credits
- Endpoint: POST /llm/gemini/v1beta/openai/embeddings
- Required params: input (string | array), model (string)
- Optional params: dimensions=3072, task_type
- Example input:
```json
{
  "model": "gemini-embedding-001",
  "input": "What is the meaning of life?"
}
```
- Full docs: https://console.core.today/docs/models/gemini-embedding-001

### GPT-5.6 Luna — `gpt-5.6-luna`

The fast, low-cost tier of OpenAI's GPT-5.6 family (GA July 2026). Luna is built for high-throughput workloads at $1/$6 per million tokens, with a 1M token context window, 128K max output tokens, and cached inputs at a 90% discount.

- Provider: OpenAI
- Credits: 1 (per request)
- Speed: fast / Quality: high
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 1,858 credits, output 11,148 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, temperature=1.0, stream=false
- Example input:
```json
{
  "model": "gpt-5.6-luna",
  "messages": [
    {
      "role": "system",
      "content": "Classify the ticket as: billing, bug, feature_request. Respond with only the label."
    },
    {
      "role": "user",
      "content": "I was charged twice for my subscription this month."
    }
  ],
  "max_completion_tokens": 20,
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.6-luna

### GPT-5.6 Sol — `gpt-5.6-sol`

The flagship tier of OpenAI's GPT-5.6 family (GA July 2026). Sol delivers the strongest reasoning, coding, and multimodal performance of the generation with a 1M token context window, 128K max output tokens, and cached inputs at a 90% discount.

- Provider: OpenAI
- Credits: 5 (per request)
- Speed: fast / Quality: ultra
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 55,740 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, temperature=1.0, stream=false
- Example input:
```json
{
  "model": "gpt-5.6-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a senior software engineer. Think step by step."
    },
    {
      "role": "user",
      "content": "Design a migration plan from a monolithic Express API to modular services, then generate the first service's code with tests."
    }
  ],
  "reasoning_effort": "high",
  "max_completion_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.6-sol

### GPT-5.6 Terra — `gpt-5.6-terra`

The balanced tier of OpenAI's GPT-5.6 family (GA July 2026). Terra offers near-flagship quality at half the price of Sol, with a 1M token context window, 128K max output tokens, and cached inputs at a 90% discount.

- Provider: OpenAI
- Credits: 3 (per request)
- Speed: fast / Quality: high
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 4,645 credits, output 27,870 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, temperature=1.0, stream=false
- Example input:
```json
{
  "model": "gpt-5.6-terra",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful customer support assistant."
    },
    {
      "role": "user",
      "content": "My webhook deliveries started failing with 403 yesterday. What should I check?"
    }
  ],
  "max_completion_tokens": 2000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.6-terra

### GPT-5.5 — `gpt-5.5`

OpenAI's newest flagship model with a 1.05M token context window and 128K max output tokens. Supports cached inputs at 10× discount and improved reasoning, coding, and multimodal performance over the GPT-5.4 series.

- Provider: OpenAI
- Credits: 5 (per request)
- Speed: fast / Quality: ultra
- Context: 1,050,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 9,290 credits, output 55,740 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, temperature=1.0, stream=false, top_p=1.0
- Example input:
```json
{
  "model": "gpt-5.5",
  "messages": [
    {
      "role": "system",
      "content": "You are a research assistant. Cite sources by ID."
    },
    {
      "role": "user",
      "content": "Given the attached corpus of internal docs, summarize the key risks discussed and propose mitigations grouped by severity."
    }
  ],
  "reasoning_effort": "high",
  "max_completion_tokens": 8000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.5

### GPT-5.4 — `gpt-5.4`

OpenAI's newest flagship model with 1M context window and 128K output tokens. Delivers top-tier reasoning across all domains with adjustable reasoning effort levels from none to xhigh.

- Provider: OpenAI
- Credits: 5 (per request)
- Speed: fast / Quality: ultra
- Context: 1,000,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 4,645 credits, output 27,870 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, temperature=1.0, stream=false, top_p=1.0
- Example input:
```json
{
  "model": "gpt-5.4",
  "messages": [
    {
      "role": "system",
      "content": "You are an expert analyst with deep domain knowledge."
    },
    {
      "role": "user",
      "content": "Compare the architectural trade-offs between microservices and monolithic architectures for a fintech startup processing 10M transactions per day."
    }
  ],
  "reasoning_effort": "high",
  "max_completion_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.4

### GPT-5.4 Mini — `gpt-5.4-mini`

Fast and cost-efficient variant of GPT-5.4 with 400K context window and 128K output tokens. Excellent balance of performance and affordability for everyday tasks.

- Provider: OpenAI
- Credits: 2 (per request)
- Speed: fast / Quality: high
- Context: 400,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 1,394 credits, output 8,361 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, temperature=1.0, stream=false, top_p=1.0
- Example input:
```json
{
  "model": "gpt-5.4-mini",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Explain the difference between REST and GraphQL APIs with pros and cons."
    }
  ],
  "temperature": 0.7,
  "max_completion_tokens": 2000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.4-mini

### GPT-5.4 Nano — `gpt-5.4-nano`

Ultra-lightweight and fastest GPT-5.4 variant with 400K context and 128K output. Designed for high-throughput, low-latency applications at minimal cost. Supports MCP for tool integration.

- Provider: OpenAI
- Credits: 1 (per request)
- Speed: fast / Quality: standard
- Context: 400,000 tokens / Max output: 128,000 tokens
- Token pricing (per 1M): input 372 credits, output 2,322 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, temperature=1.0, stream=false, top_p=1.0
- Example input:
```json
{
  "model": "gpt-5.4-nano",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following text into one of these categories: positive, negative, neutral. Respond with only the category."
    },
    {
      "role": "user",
      "content": "The new product launch exceeded all expectations, with record-breaking sales in the first week."
    }
  ],
  "max_completion_tokens": 50,
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.4-nano

### GPT-5.2 — `gpt-5.2`

OpenAI's latest and most advanced GPT model. Delivers state-of-the-art performance across reasoning, coding, and creative tasks with enhanced capabilities.

- Provider: OpenAI
- Credits: 4 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 256,000 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 3,252 credits, output 26,012 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, stream=false
- Example input:
```json
{
  "model": "gpt-5.2",
  "messages": [
    {
      "role": "system",
      "content": "You are an expert analyst."
    },
    {
      "role": "user",
      "content": "Analyze the potential economic impacts of widespread AI adoption in healthcare, considering both developed and developing nations."
    }
  ],
  "max_completion_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.2

### GPT-5.1 (2025-11-13) — `gpt-5.1-2025-11-13`

Dated snapshot of GPT-5.1 for reproducible results. Supports cached input tokens for cost savings on repeated context. Ideal for production deployments requiring model version pinning.

- Provider: OpenAI
- Credits: 3 (per request)
- Speed: fast / Quality: high
- Context: 1,000,000 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 2,322 credits, output 18,580 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, temperature=1.0, stream=false, top_p=1.0
- Example input:
```json
{
  "model": "gpt-5.1-2025-11-13",
  "messages": [
    {
      "role": "system",
      "content": "You are a data analyst. Provide consistent, structured analysis."
    },
    {
      "role": "user",
      "content": "Analyze the key factors driving cloud computing adoption in 2026."
    }
  ],
  "temperature": 0,
  "max_completion_tokens": 2000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5.1-2025-11-13

### GPT-5 — `gpt-5`

OpenAI's latest flagship model. Delivers exceptional performance across reasoning, coding, and creative tasks with a massive 1M token context window and 32K output tokens. Supports vision, function calling, and JSON mode.

- Provider: OpenAI
- Credits: 3 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 2,322 credits, output 18,580 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, stream=false, response_format, tools, reasoning_effort=medium
- Example input:
```json
{
  "model": "gpt-5",
  "messages": [
    {
      "role": "system",
      "content": "You are an expert analyst. Provide thorough, well-structured analysis."
    },
    {
      "role": "user",
      "content": "Analyze the potential impacts of quantum computing on current encryption standards and suggest a migration roadmap for enterprise systems."
    }
  ],
  "max_completion_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5

### GPT-5 Mini — `gpt-5-mini`

Fast and efficient variant of GPT-5. Delivers strong performance across reasoning, coding, and creative tasks with a 1M token context window and 32K output tokens, at a fraction of the cost of GPT-5.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 464 credits, output 3,716 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, stream=false, response_format, tools
- Example input:
```json
{
  "model": "gpt-5-mini",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant. Be concise and clear."
    },
    {
      "role": "user",
      "content": "Explain the difference between REST and GraphQL APIs, including when to use each."
    }
  ],
  "max_completion_tokens": 2000
}
```
- Full docs: https://console.core.today/docs/models/gpt-5-mini

### GPT-5 Nano — `gpt-5-nano`

Ultra-fast and lightweight variant of GPT-5. Designed for high-throughput, low-latency applications with a 1M token context window and 32K output tokens at minimal cost.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 93 credits, output 743 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: max_completion_tokens=4096, reasoning_effort=medium, stream=false, response_format, tools
- Example input:
```json
{
  "model": "gpt-5-nano",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following customer message into one of these categories: billing, technical, general, feedback. Respond with only the category name."
    },
    {
      "role": "user",
      "content": "I was charged twice for my subscription last month and need a refund."
    }
  ],
  "max_completion_tokens": 50
}
```
- Full docs: https://console.core.today/docs/models/gpt-5-nano

### GPT-4.1 — `gpt-4.1`

OpenAI's most capable model for coding and instruction following. Features a 1M token context window, 32K output tokens, and major improvements in coding, complex prompts, and long-context tasks. 20% cheaper than GPT-4o on output.

- Provider: OpenAI
- Credits: 3 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 3,716 credits, output 14,864 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: temperature=1.0, max_tokens=4096, stream=false, response_format, tools, top_p=1.0
- Example input:
```json
{
  "model": "gpt-4.1",
  "messages": [
    {
      "role": "system",
      "content": "You are an expert code reviewer. Analyze the codebase and suggest improvements."
    },
    {
      "role": "user",
      "content": "Review this Python project and identify potential performance bottlenecks, security issues, and suggest refactoring opportunities."
    }
  ],
  "temperature": 0.3,
  "max_tokens": 4000
}
```
- Full docs: https://console.core.today/docs/models/gpt-4.1

### GPT-4.1 Mini — `gpt-4.1-mini`

A significant leap in small model performance. Matches or exceeds GPT-4o in intelligence while reducing latency by nearly half and cost by 83%. Ideal balance of speed, quality, and affordability.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 743 credits, output 2,973 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: temperature=1.0, max_tokens=4096, stream=false, response_format, tools, top_p=1.0
- Example input:
```json
{
  "model": "gpt-4.1-mini",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant. Be concise."
    },
    {
      "role": "user",
      "content": "What are the top 3 design patterns for microservices?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1000
}
```
- Full docs: https://console.core.today/docs/models/gpt-4.1-mini

### GPT-4.1 Nano — `gpt-4.1-nano`

OpenAI's fastest and cheapest model. Optimized for classification, autocompletion, and low-latency tasks. Ultra-affordable at $0.10/1M input tokens.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: standard
- Context: 1,047,576 tokens / Max output: 32,768 tokens
- Token pricing (per 1M): input 186 credits, output 743 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: temperature=1.0, max_tokens=4096, stream=false, response_format, tools, top_p=1.0
- Example input:
```json
{
  "model": "gpt-4.1-nano",
  "messages": [
    {
      "role": "system",
      "content": "Classify the sentiment as positive, negative, or neutral. Respond with JSON: {\"sentiment\": \"...\", \"confidence\": 0.0}"
    },
    {
      "role": "user",
      "content": "The new update is amazing! Everything runs so much smoother now."
    }
  ],
  "response_format": {
    "type": "json_object"
  },
  "max_tokens": 50
}
```
- Full docs: https://console.core.today/docs/models/gpt-4.1-nano

### GPT-4o — `gpt-4o`

OpenAI's flagship multimodal model. Industry-leading performance in reasoning, coding, and creative tasks with native vision capabilities and structured output support.

- Provider: OpenAI
- Credits: 3 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 128,000 tokens / Max output: 16,384 tokens
- Token pricing (per 1M): input 4,645 credits, output 18,580 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array), model (string)
- Optional params: temperature=1.0, max_tokens=4096, stream=false, response_format, tools, top_p=1.0
- Example input:
```json
{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Explain quantum computing in simple terms."
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1000
}
```
- Full docs: https://console.core.today/docs/models/gpt-4o

### GPT-4o Mini — `gpt-4o-mini`

Cost-effective, fast model with strong performance. Best for high-volume tasks where speed and cost matter more than absolute capability.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 128,000 tokens / Max output: 16,384 tokens
- Token pricing (per 1M): input 279 credits, output 1,115 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array)
- Optional params: temperature=1.0, max_tokens, stream=false
- Example input:
```json
{
  "model": "gpt-4o-mini",
  "messages": [
    {
      "role": "system",
      "content": "Classify the sentiment of the following text as positive, negative, or neutral. Respond with only the classification."
    },
    {
      "role": "user",
      "content": "The product arrived on time and works great!"
    }
  ],
  "temperature": 0
}
```
- Full docs: https://console.core.today/docs/models/gpt-4o-mini

### GPT Audio Mini — `gpt-audio-mini`

Lightweight multimodal model with native audio input/output capabilities. Optimized for voice-based interactions and audio processing tasks.

- Provider: OpenAI
- Credits: 1 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 128,000 tokens / Max output: 16,384 tokens
- Token pricing (per 1M): input 1,115 credits, output 4,459 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array)
- Optional params: temperature=1.0, max_tokens
- Example input:
```json
{
  "model": "gpt-audio-mini",
  "messages": [
    {
      "role": "user",
      "content": "Describe the key differences between spoken and written language."
    }
  ],
  "max_tokens": 1000
}
```
- Full docs: https://console.core.today/docs/models/gpt-audio-mini

### MiniMax M2.7 — `MiniMax-M2.7`

MiniMax's flagship M2-series language model, served through an OpenAI-compatible API. Strong multilingual capability (notably Chinese and English) at a very low price point ($0.30/$1.20 per million tokens) with prompt cache reads at $0.06/M.

- Provider: MiniMax
- Credits: 1 (per request)
- Speed: fast / Quality: high
- Required params: messages (array), model (string)
- Optional params: max_tokens, temperature=1.0, stream=false
- Example input:
```json
{
  "model": "MiniMax-M2.7",
  "input": {
    "model": "MiniMax-M2.7",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful bilingual (Korean/Chinese) assistant."
      },
      {
        "role": "user",
        "content": "다음 문장을 중국어로 자연스럽게 번역해 주세요: 오늘 회의는 오후 3시로 변경되었습니다."
      }
    ],
    "max_tokens": 500
  }
}
```
- Full docs: https://console.core.today/docs/models/MiniMax-M2.7

### OpenAI o4-mini — `o4-mini`

Fast, cost-effective reasoning model optimized for coding and STEM tasks. Provides strong reasoning at a fraction of the cost of larger reasoning models.

- Provider: OpenAI
- Credits: 2 (per 1K tokens (avg))
- Speed: fast / Quality: ultra
- Context: 200,000 tokens / Max output: 100,000 tokens
- Token pricing (per 1M): input 2,044 credits, output 8,175 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array)
- Optional params: max_completion_tokens, reasoning_effort
- Example input:
```json
{
  "model": "o4-mini",
  "messages": [
    {
      "role": "user",
      "content": "Review this code and suggest improvements:\n\ndef fib(n):\n    if n <= 1: return n\n    return fib(n-1) + fib(n-2)"
    }
  ],
  "max_completion_tokens": 16000,
  "reasoning_effort": "medium"
}
```
- Full docs: https://console.core.today/docs/models/o4-mini

### OpenAI o3-mini — `o3-mini`

Efficient reasoning model that delivers strong performance at lower cost. Ideal for tasks requiring reasoning without the overhead of larger models.

- Provider: OpenAI
- Credits: 2 (per 1K tokens (avg))
- Speed: fast / Quality: high
- Context: 200,000 tokens / Max output: 100,000 tokens
- Token pricing (per 1M): input 2,044 credits, output 8,175 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array)
- Optional params: max_completion_tokens, reasoning_effort
- Example input:
```json
{
  "model": "o3-mini",
  "messages": [
    {
      "role": "user",
      "content": "If all roses are flowers and some flowers fade quickly, can we conclude that some roses fade quickly? Explain your reasoning step by step."
    }
  ],
  "max_completion_tokens": 8000,
  "reasoning_effort": "medium"
}
```
- Full docs: https://console.core.today/docs/models/o3-mini

### OpenAI o1 — `o1`

OpenAI's most advanced reasoning model. Uses extended thinking time to solve complex problems in science, coding, and math with exceptional accuracy.

- Provider: OpenAI
- Credits: 15 (per 1K tokens (avg))
- Speed: slow / Quality: ultra
- Context: 200,000 tokens / Max output: 100,000 tokens
- Token pricing (per 1M): input 27,870 credits, output 111,480 credits
- Endpoint: POST /llm/openai/v1/chat/completions
- Required params: messages (array)
- Optional params: max_completion_tokens, reasoning_effort=medium
- Example input:
```json
{
  "model": "o1",
  "messages": [
    {
      "role": "user",
      "content": "Prove that there are infinitely many prime numbers using a proof by contradiction."
    }
  ],
  "reasoning_effort": "high"
}
```
- Full docs: https://console.core.today/docs/models/o1