AI model benchmark comparator.
Stop guessing between GPT, Claude, Gemini and the open models. Rank every major LLM on real public benchmarks coding, math, knowledge, reasoning, and find the best model and best value for your workload.
See who actually wins your workloads.
Pick 2-3 models and the benchmark lens you care about, ranked from real public scores, not marketing.
Free · no sign-up · 12 models, six public benchmarks
How to choose the right AI model
- 1
Pick the models
Choose two or three from the 12 ranked models, GPT, Claude, Gemini and open models.
- 2
Choose your lens
Overall, coding, math, knowledge, factuality, creative writing or value, each ranked by its own real public benchmark.
- 3
Read the ranking
See the scores side by side with the blended price per 1M tokens, so the win is priced in dollars too.
Understanding LLM benchmarks
A single benchmark number is a proxy, not a verdict. MMLU tells you how much a model knows; HumanEval how well it writes code; GSM8K how reliably it reasons about math. A model that tops one list can lag on another, which is why the radar chart matters more than any single score.
The pattern that holds across every leaderboard: frontier models win on capability, but fast models close 85-95% of the gap at a tenth of the price
Built by Payle, price your exact prompts with the AI prompt cost calculator, compare subscription tools with the AI tool comparison, and see real annual deals in the AI deal finder.
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Every calculator is free and needs no sign-up: price, compare, track and optimize your whole AI stack with the same catalog and the same math.
Frequently asked questions
Across public benchmarks, Claude Opus 4 leads overall with a 92.4 score, Gemini 2.5 Pro edges it on math and reasoning, and o3-mini dominates coding. But the best model for you depends on the job: the comparator ranks 12 models across six benchmarks, plus creative writing and value lenses.
Every model in the Payle catalog is scored on six public benchmarks, MMLU (knowledge), HumanEval (coding), GSM8K (math), HellaSwag (common sense), ARC-C (reasoning) and TruthfulQA (factuality), plus an overall average, creative writing score and value index.
MMLU tests knowledge across 57 subjects, HumanEval measures code generation on real programming problems, GSM8K checks grade-school math reasoning, HellaSwag tests common-sense inference, ARC-C measures science reasoning and TruthfulQA tests factual reliability.
For all-round capability the frontier models, Claude Opus, Claude Sonnet and Gemini Pro class, lead the leaderboards, with Claude models typically strongest on coding and long-form writing and Gemini strong on math and reasoning.
On public benchmarks Claude models edge ahead on coding (HumanEval) and long-form writing, while OpenAI models are strong across the board with a deep ecosystem. The right pick depends on your workload, and the value lens shows which win costs least per point.
API usage is billed per token, price your exact prompts with the AI prompt cost calculator. Subscriptions and approved usage plans can be purchased through Payle at exclusive pricing, about 25% below retail, paid $0 today over 3 months.
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