[whatmodel.sh](../../README.md) / GPT-5 Pro # GPT-5 Pro OpenAI · released 2025-10 · proprietary **score 71.5** ±0.9 · #65 of 732 · from 7 benchmark results across 3 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks GPT-5 Pro among every model on that task or test, worst to best. 
task         vs the others         rank  counts  tests
agent tasks  ▁▁▃▆█▄▅▅●▄▂▁   #77 of 313*    5.3%      1
math         ▁▁▃▅█▆▄█●▂▁▁   #50 of 431*     63%      2
web search   ▁▁▁●▄█▃▄·▁·▁    #61 of 84*    5.3%      1
agent tasks · #77 of 313 · 5.3% of its score Trails [MiMo-V2.5 (310B-A15B)](mimo-v2-5.md), [MiMo-V2.5-Pro (1T-A42B)](mimo-v2-5-pro.md), [MiniMax-M3](minimax-m3.md) here, though they rank lower overall. 
test                                result  vs the others in its run  difficulty           counts  why
Humanity's Last Exam with tools (…   42.0%  ▃·▃·●····▅·█ beats 3/8    very hard · avg 12%    5.3%  at its level
math · #50 of 431 · 63% of its score Beats [Grok 4.7](grok-4-7.md), [GLM-5.3-Flash](glm-5-3-flash.md), [LongCat 2.0 (1.6T-A48B)](longcat-2-0.md) here, though they rank higher overall. Trails [A.X K2 (688B-A33B)](ax-k2.md), [GPT-5](gpt-5.md) here, though they rank lower overall. 
test                       result  vs the others in its run  difficulty            counts  why
FrontierMath tiers 1–3 v2   55.8%  ▂··▁▁▃▄▄●▆▄▃ beats 40/86  very hard · avg 1.2%     39%  sharp · at its level
FrontierMath tier 4 v2      19.5%  ▁▂▁▂●▅▂▃▂▁▁▁ beats 21/67  very hard · avg 0.1%     24%  sharp
web search · #61 of 84 · 5.3% of its score Trails [GPT-4o mini (2024-07-18)](gpt-4o-mini-2024-07-18.md), [Mistral Small 3.1 24B (2503)](mistral-small-3-1.md), [Llama 4 Scout (109B-A17B)](llama-4-scout.md) here, though they rank lower overall. 
test                                result  vs the others in its run  difficulty           counts  why
Humanity's Last Exam with tools (…   42.0%  ▃·▃·●····▅·█ beats 3/8    very hard · avg 12%    5.3%  at its level
other tests (4) 
test                                result  vs the others in its run    difficulty            counts  why
GPQA Diamond (maker)                 88.4%  ▁▁▁▁▂▄▅▅██●▄ beats 260/322  hard · avg 38%           11%  sharp
Humanity's Last Exam (maker)         30.7%  ▃··▃·▃●···▃█ beats 3/7      very hard · avg 4.4%    8.1%  at its level
ARC-AGI-2 public evaluation set (…   13.3%  █··▂▅▁●▁▃·▁▃ beats 14/24    very hard · avg 0.3%    7.9%  sharp · at its level · noisy
ARC-AGI-1 public evaluation set (…   77.0%  ▁·▇▃▁·█●▁·▇▃ beats 18/27    very hard · avg 4.0%    4.4%  sharp · noisy
## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md) 
source                                    results  share of the score
Epoch AI                                        2   63% ▇▇▇▇▇▇▇▇
OpenAI vendor-reported benchmark scores…        3   24% ▇▇▇
ARC Prize Foundation model_baseline out…        2   12% ▇
prior: pull toward the middle                        0% ▇
weighted average                                   = 71.5
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · ARC Prize Foundation model\_baseline outputs on ARC-AGI-1/2 public evaluation sets ([MIT](../../licenses/arcprize-model-baseline-outputs-MIT.txt)) ## How to run it ### Through an API api (OpenAI) · $41.25/M blended · $15 in / $120 out per 1M tokens · [developers.openai.com](https://developers.openai.com/api/docs/models/gpt-5-pro) [price source](https://developers.openai.com/api/docs/models/gpt-5-pro): USD per 1M tokens, OpenAI API standard processing, model page 'gpt-5-pro' whose default snapshot is gpt-5-pro-2025-10-06: input $15, output $120; cached-input, Batch and other tiers excluded. Currency: USD. OpenAI official model page, observed 2026-09-28. · [context source](https://developers.openai.com/api/docs/models/gpt-5-pro): OpenAI model page for gpt-5-pro (default snapshot gpt-5-pro-2025-10-06): 400,000 context window. Observed 2026-09-28. [interactive version](https://whatmodel.sh/model/gpt-5-pro) · [JSON](https://whatmodel.sh/api?format=json&all=1)