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Anthropic's frontier Mythos-class model with always-on adaptive reasoning and a one-million-token context window, built for deep code and research analysis rather than real-time chat.
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.
OpenAI's frontier agentic instruct model with a 1M+ token context window, built for complex multi-step reasoning, long-document analysis, and autonomous tool orchestration.
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.
OpenAI's efficient GPT-5-generation model with a 400K context window, tool calling, structured output, and optional reasoning traces — optimised for high-throughput agentic and coding workloads.
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.
OpenAI's frontier agentic coding model combining top-tier software-engineering performance with broad professional reasoning, a 400K-token context window, and native support for reasoning traces and tool orchestration.
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.
Anthropic's frontier Claude Opus 4.5, 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, extended thinking support, vision, and strong safety benchmarks.
OpenAI's compact GPT-5 variant — multimodal input, 400K context, optional extended thinking, and tool calling — tuned for interactive, medium-complexity workloads at a lighter weight than full GPT-5.
OpenAI's fastest GPT-5 tier — optimised for high-volume classification, summarisation, and short-completion tasks with a 400K context window, vision and file input, and optional reasoning traces.
Anthropic's agentic coding and research model with 74.5% SWE-bench Verified, 200K context, and extended thinking up to 64K tokens.
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.
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.
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Anthropic's frontier Mythos-class model with always-on adaptive reasoning and a one-million-token context window, built for deep code and research analysis rather than real-time chat.