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Anthropic's first Mythos-class frontier model with always-on adaptive reasoning, a one-million-token context window, and multimodal input — built for deep reasoning across code, research, and analytical workloads.
Anthropic's most capable flagship model as of May 2026, built for complex agentic workflows, graduate-level reasoning, and long-context analysis — with a one-million-token context window and opt-in extended thinking.
Google DeepMind's frontier-tier multimodal Flash model with a 1M-token context window, optional extended thinking, and native support for text, image, video, audio, and file inputs — built for complex interactive workloads.
Google DeepMind's cost-optimised multimodal language model with a 1M-token context window, real-time latency, and optional extended thinking — built for high-throughput agentic and instruction-following workloads.
Anthropic's iterative frontier flagship with a one-million-token context window, graduate-level reasoning (GPQA 0.914), enhanced vision, and optional extended thinking — built for complex long-horizon tasks.
Mistral AI's 119B open-weights MoE model unifying instruct, on-demand reasoning, vision, and coding in a single Apache 2.0 checkpoint, with a 262K-token context window and interactive-class latency.
Google's frontier reasoning model with a 1M-token context window, dynamic chain-of-thought thinking, and full multimodal input — built for complex, long-horizon inference tasks.
Anthropic's hybrid reasoning Sonnet model — frontier-grade GPQA scores, API-controlled extended thinking, and a 1M-token context window in beta, delivered at interactive speeds.
Anthropic's flagship reasoning model with a 1M-token context window (beta), adaptive thinking via /effort controls, and top benchmark results on Humanity's Last Exam, Terminal-Bench 2.0, BrowseComp, and GDPval-AA. Optimised for complex agentic and long-context workloads.
Google's frontier-tier Flash model with a 1M-token context, native multimodal inputs, and opt-in extended thinking — built for fast agentic workflows that need near-Pro reasoning.
Mistral AI's December 2025 open-weight flagship — a sparse MoE with 675B total / 41B active parameters, 256k context, native vision, and Apache 2.0 licence — built for complex instruction-following, agentic workflows, and multilingual deployments.
Anthropic's frontier reasoning model with an 80.9% SWE-bench Verified score, 200K context window, and optional extended thinking — built for complex coding, research, and long-document tasks where inference depth takes priority over latency.
Anthropic's fastest Claude 4 model — built for high-throughput agentic and coding workloads, with a 200K-token context window, extended thinking support, vision, and strong safety benchmarks.
Anthropic's frontier instruction-tuned model for agentic coding, computer use, and long-context reasoning, with a 1M-token context window.
Magistral Medium 2509 is Mistral AI's enterprise reasoning model, featuring always-on chain-of-thought Inference, vision input, and a 128k context window — available exclusively via the La Plateforme API.
Mistral Medium 3.1 is a multimodal Mixture-of-Experts model from Mistral AI with a 128K context window, combining text and image understanding with function calling, OCR, and document Q&A in an efficient mid-tier interactive package.
Anthropic's agentic coding and research model with 74.5% SWE-bench Verified, 200K context, and extended thinking up to 64K tokens.
Google's fastest Gemini 2.5 variant — a multimodal, 1M-context instruct model built for realtime, high-throughput workloads with optional reasoning mode.
Google's flagship reasoning model with a one-million-token context window, adaptive chain-of-thought thinking, and native support for multimodal inputs, tool calling, web search grounding, and sandboxed code execution.
Anthropic's flagship hybrid reasoning model from the Claude 4 generation — leading SWE-bench Verified at launch and built for complex coding, agentic, and research workflows with extended thinking up to 64K tokens.
Google DeepMind's efficiency-tier multimodal model with a 1M-token context window, optional chain-of-thought thinking, and native support for text, image, audio, video, and file inputs.
OpenAI's compact multimodal model balancing capable instruction-following with realtime latency — the practical default for high-throughput text and vision workloads.
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Anthropic's first Mythos-class frontier model with always-on adaptive reasoning, a one-million-token context window, and multimodal input — built for deep reasoning across code, research, and analytical workloads.