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A hybrid-reasoning Claude model from Anthropic with a 1M-token context window, selectable reasoning effort, and tool calling for coding, research, and agentic work.
One of Anthropic's Claude Opus 4 models — a one-million-token context window, optional adaptive thinking, and native document understanding for reasoning-heavy and agentic work.
Google's multimodal Flash model with a 1M+ token context and opt-in reasoning effort, built for fast Inference on complex, mixed-media tasks.
Mistral AI's dense 14B multimodal Instruct model with Apache-2.0 open weights, a 262,144-token context window and native tool calling.
Mistral AI's Apache-2.0 Ministral 3 3B Instruct model: text and image in, text out, 256k context, built for fast simple workloads.
Mistral AI's dense 8B Instruct model with text and image input, a 262,144-token context window and open Apache-2.0 weights.
Mistral AI's open-weight flagship: a 675B-parameter (41B active) Granular MoE model with native vision input, function calling, and a 262,144-token context window, built for long-document and multimodal workflows.
Anthropic's frontier Claude Opus 4.5: a proprietary, text-and-image model built for complex coding, research, and long-document reasoning with optional extended thinking.
Anthropic's fastest Claude 4 model — built for high-throughput agentic and coding workloads, with a 200K-token context window, optional extended thinking, vision input, and strong safety benchmarks.
Anthropic's instruct-tuned Claude Sonnet 4.5 — built for agentic coding, computer-use, and long-context reasoning via the Claude API.
OpenAI's compact GPT-5 variant with tunable reasoning effort, a 400K-token context window, and multimodal input for interactive document and image tasks.
OpenAI's fastest, lightest GPT-5 tier for high-volume classification, summarisation, and short completions — 400K context, vision and file input, mandatory reasoning traces.
Google's fastest, lowest-cost Gemini 2.5 model — a multimodal instruct model with a 1M-token context window, built for realtime, high-throughput Inference.
Deprecated 24B open-weights multimodal instruct model from Mistral AI with 131k context, tool calling, and strong document vision — use Small 4 for new work.
Google's closed-weight, reasoning-tuned flagship with a 1M-token context window, multimodal input, and native tool calling.
OpenAI's higher-compute o3 reasoning model for deep, batch-style math, code, and research tasks via the Responses API.
Google DeepMind's efficiency-tier multimodal model with a 1M-token context window, optional chain-of-thought thinking, and native text, image, audio, video, and file input.
OpenAI's closed-weight GPT-4 Turbo brings a 128K-token context window and text+image input to complex, long-context tasks at interactive latency.
Mistral AI's dense 128B model with text and image input, optional reasoning and a 262,144-token context window.
OpenAI's compute-maximised o3 reasoning model, built for deep multi-step reasoning in math, code, and research over a 200K-token context.