whatmodel.sh / GPT-5.2 Pro

GPT-5.2 Pro

+ contribute
Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

GPT-5.2 Pro is a closed-weights language model from OpenAI, released December 2025. Licence: proprietary.

Catalogue identity notes

Comparison model from the Epoch AI internal-evaluation CSVs (Epoch release date 2025-12-11). Epoch label gpt-5.2-pro-2025-12-11 (default and only snapshot). Distinct from gpt-5-2.

77.1±1.0#26 of 719 LLMsfrom 4 benchmark results across 2 sources

$ how it compares

The LLMs ranked either side of GPT-5.2 Pro, out of 828 with a score, then more from OpenAI.

#modelscorewhereRAMreleased
24Muse Spark 1.3 Meta77±1api $2.00/M2026-09
25Kimi K3 Moonshot AI77±1api $6.00/M +local~884GB2026-07
26GPT-5.2 Pro OpenAI77±1api $57.75/M2025-12
27MiMo-V2.6-Flash (309B-A15B) Xiaomi77±1api $0.17/M +local~136GB2026-09
28GPT-6 Luna OpenAI77±1api $0.20/M2026-09
more from OpenAI
1GPT-6 Astra OpenAI87±1api $20.00/M2026-09
3GPT-6.1 Sol OpenAI85±1api $4.00/M2026-09
7GPT-6 Sol OpenAI83±1api $4.00/M2026-09

see all LLMs · find the ones that fit your machine

$ what it's good at

math▁▂▃▅▆▅▄█▄▃▁▁ #21 of 398 * · 84% of its score · 2 tests

Beats DeepSeek V4.1 Flash, Gemini 3.8 Flash, Muse Spark 1.3 here, though they rank higher overall. Trails GPT-5.6 Luna, GPT-6 Luna here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
FrontierMath tier 4 v246.0% ✎▁▂▁▂█▅▂▂▁▁▁▁ beats 43/63very hard · avg 0.1%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 44%sharp · at its level
FrontierMath tiers 1–3 v274.0% ✎▂··▁▁▃▄▄█▅▃▃ beats 62/82very hard · avg 1.2%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 40%sharp · at its level
other tests2 not in a task · 16% of its score
testresultvs the others in its rundifficultycountswhy
ARC-AGI-2 public evaluation set (ARC Prize model_baseline, pass@2)37.9% ✎█··▂▅▁▃▁▃·▁▃ beats 19/24very hard · avg 0.3%▇▇▇▇▇ 12%sharp · at its level · noisy
ARC-AGI-1 public evaluation set (ARC Prize model_baseline, pass@2)94.6% ✎▁·▇▃▁·█▇▁·▇▃ beats 21/27very hard · avg 4.1%▇ 3.2%sharp · noisy

$ where to run it

Through an API

api · $57.75/M · $21 in / $168 out per 1M tokens · 400k context · developers.openai.com ↗ · price sourceUSD 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.

$ how the score was worked out · Epoch AI — internal evaluatio… 84%, ARC Prize Foundation model_ba… 16%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The 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's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Epoch AI — internal evaluations2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%CC BY 4.0
ARC Prize Foundation model_baseline outputs on ARC-AGI-1/2 public evaluation sets2▇▇▇▇▇ 16%MIT
prior · pull toward the middle▇ 0%
weighted average= 77.1

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json