LLM API

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

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.

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.

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.

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

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

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.

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

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.

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.

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.

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.

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.

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

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.

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

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.

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

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

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

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

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

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

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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

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

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

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

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.

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

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

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