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Model Benchmark Picker

Which LLM wins for your task?

Your task-weighted ranking (Jan 2026)
Scores synthesize public benchmarks (HumanEval, MMLU, MT-Bench, SWE-bench, LongBench) weighted by your task.
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Learn more — how it works, FAQ & guide
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Model benchmark picker

Pick the best LLM for YOUR task — not just the global leaderboard winner.

How to use this tool

  1. 1

    Pick your task type

    Code, reasoning, creative, long-doc, multilingual.

  2. 2

    Set budget + latency

    Constraints for your use case.

  3. 3

    See ranked models

    Not just MMLU — task-weighted picks.

Frequently Asked Questions

Where does the data come from?
Scores are aggregated from public benchmarks (MMLU, HumanEval, SWE-bench, MT-Bench, LongBench, MGSM) as of January 2026, weighted by task relevance. Not real-time.
Why not just use leaderboards?
Leaderboards average across all task types. The best coding model may be mediocre at creative writing. We weight scores by YOUR task, not the global average.
Pricing accurate?
Yes for Jan 2026. Always verify current pricing — providers adjust monthly. This tool is decision-support, not billing-grade.

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100% Privacy. This tool runs entirely in your browser. Your data is never uploaded to any server.