Every top Al model in one place.
Built for Mac developers and power users.
Benchmark scores, context windows, and pricing for every major AI model in one place. Pick two models, see how they stack up on the metrics that actually matter for your task.
Choose any two models to see their scores side by side.
The matchups people search for most — flagship models from OpenAI, Anthropic, Google, and others, compared on the same benchmarks. Open any pair to see the full breakdown.
Skip the setup. Use top models inside Setapp's AI tools for writing, image generation, code, translation, and summarizing — no API keys, no config.
Full spec sheets for every model on the leaderboard — capabilities, benchmarks, context windows, and pricing on one page.
Integrate any AI model on this page through Setapp AI Gateway — a single API, unified billing, and instant switching between providers. Test models against your own workloads before you commit.
There's no single winner. The best model depends on your task. Arena Score reflects general preference in open chat, GPQA Diamond rewards deep reasoning, and SWE-bench measures coding ability. A model that leads one benchmark often trails on another, so compare the metrics that match your use case.
Arena Score comes from LMArena, where users blind-vote between two model responses to the same prompt. GPQA Diamond tests graduate-level science reasoning with questions experts wrote to be Google-proof. SWE-bench asks the model to solve real GitHub issues by editing a codebase and running tests. Together they cover general quality, hard reasoning, and applied coding.
Start with the task. For chat, drafting, and general Q&A, look at Arena Score. For research, math, or scientific work, weight GPQA Diamond. For engineering, weight SWE-bench. Then factor in context window (does it fit your input?) and pricing (does it fit your budget at your expected volume?).
A top-scoring model isn't useful if it can't fit your document or costs more than the value it delivers. Context window sets the ceiling on how much you can feed the model in one call — critical for long documents, large codebases, or multi-turn workflows. Pricing determines whether the model is viable in production, especially at scale, since output tokens are usually more expensive than input.
A single API that gives you access to every model on this page — OpenAI, Anthropic, Google, and more — with unified billing and no vendor lock-in. Compare models on your own prompts, switch providers with one config change, and manage all usage from one dashboard.
