[whatmodel.sh](../../README.md) / GPT-5.2 Pro # GPT-5.2 Pro OpenAI · released 2025-12 · proprietary **score 75.4** ±1.0 · #31 of 732 · from 4 benchmark results across 2 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks GPT-5.2 Pro among every model on that task or test, worst to best.}

task  vs the others         rank  counts  tests
math  ▁▁▃▅█▆▄█▄●▁▁   #23 of 431*     85%      2

math · #23 of 431 · 85% of its score

Beats [DeepSeek V4.1 Flash 1017](deepseek-v4-1-flash-1017.md), [Muse Spark 1.3](muse-spark-1-3.md), [Gemini 3.8 Flash](gemini-3-8-flash.md) here, though they rank higher overall. Trails [GPT-5.6 Luna](gpt-5-6-luna.md), [GPT-6 Luna](gpt-6-luna.md), [Claude Haiku 5.5](claude-haiku-5-5.md) here, though they rank lower overall.

test                       result  vs the others in its run  difficulty            counts  why
FrontierMath tier 4 v2      46.0%  ▁▂▁▂█●▂▃▂▁▁▁ beats 44/67  very hard · avg 0.1%     45%  sharp · at its level
FrontierMath tiers 1–3 v2   74.0%  ▂··▁▁▃▄▄█●▄▃ beats 64/86  very hard · avg 1.2%     40%  sharp · at its level

other tests (2)

test                                result  vs the others in its run  difficulty            counts  why
ARC-AGI-2 public evaluation set (…   37.9%  █··▂▅▁▃▁●·▁▃ beats 19/24  very hard · avg 0.3%     11%  sharp · at its level · noisy
ARC-AGI-1 public evaluation set (…   94.6%  ▁·▇▃▁·█▇▁·●▃ beats 21/27  very hard · avg 4.0%    3.2%  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   85% ▇▇▇▇▇▇▇▇▇▇
ARC Prize Foundation model_baseline out…        2   15% ▇▇
prior: pull toward the middle                        0% ▇
weighted average                                   = 75.4

_{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) · $57.75/M blended · $21 in / $168 out per 1M tokens · [developers.openai.com](https://developers.openai.com/api/docs/models/gpt-5.2-pro) _{[price source](https://developers.openai.com/api/docs/models/gpt-5.2-pro): USD per 1M tokens, OpenAI API standard processing, model page 'gpt-5.2-pro' whose default snapshot is gpt-5.2-pro-2025-12-11: input $21, output $168; 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-5.2-pro): OpenAI model page for gpt-5.2-pro (default snapshot gpt-5.2-pro-2025-12-11): 400,000 context window. Observed 2026-09-28.} [interactive version](https://whatmodel.sh/model/gpt-5-2-pro) · [JSON](https://whatmodel.sh/api?format=json&all=1)