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OpenAIFastUltra

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.

9,290/55,740credits
input / output ยท per 1M tokens
Flagship tier of the GPT-5.6 family
1M token context window
128K max output tokens
Knowledge cutoff: February 2026
Cached input pricing (90% discount)
Adjustable reasoning effort
Function calling and native vision support

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Model Specifications

Context Window
1M
tokens
Max Output
128K
tokens
Training Cutoff
2026-02
Compatible SDK
OpenAI

Capabilities

Vision
Function Calling
Streaming
JSON Mode
System Prompt

Token Pricing (per 1M tokens)

Token TypeCreditsUSD Equivalent
Input Tokens9,290$6.19
Output Tokens55,740$37.16
Cached Tokens929$0.62

* 1,500 credits โ‰ˆ $1 (actual charges may vary based on usage)

Quick Start

curl -X POST "https://api.core.today/llm/openai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "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
}'

Parameters

ParameterTypeRequiredDefaultDescription
messagesarrayYes-Array of message objects with role and content
modelstringYesgpt-5.6-solModel identifier
max_completion_tokensintegerNo4096Maximum tokens in response (up to 128000). Note: use max_completion_tokens, not max_tokens
reasoning_effortstringNomediumReasoning effort level: none, low, medium, high, or xhigh
nonelowmediumhighxhigh
temperaturefloatNo1.0Sampling temperature (0-2)
streambooleanNofalseEnable Server-Sent Events streaming

Examples

Frontier Agentic Coding

Multi-step code reasoning with the flagship GPT-5.6 tier

curl -X POST "https://api.core.today/llm/openai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "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
}'

Cached Repeated Context

Reuse a large system prompt with 90% cached input discount

curl -X POST "https://api.core.today/llm/openai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gpt-5.6-sol",
  "messages": [
    {
      "role": "system",
      "content": "<large repeated system prompt or codebase context>"
    },
    {
      "role": "user",
      "content": "Summarize the open TODOs and rank them by risk."
    }
  ],
  "temperature": 0.3,
  "max_completion_tokens": 4000
}'

Tips & Best Practices

1Sol is the flagship tier โ€” use Terra ($2.50/$15) or Luna ($1/$6) when tasks don't need maximum capability
2Use cached inputs ($0.50/M, 90% off) for repeated system prompts and RAG context
3reasoning_effort 'high' or 'xhigh' for the most complex tasks
4128K output enables single-shot long-form generation
5Lower temperature (0.2-0.5) for coding and analytical tasks

Use Cases

Frontier reasoning and analysis
Complex agentic workflows with tool use
Large-codebase understanding and refactoring
Long document processing up to 1M tokens
Repeated context with cached inputs (RAG, codebases)