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OpenAI released on Aug 5, 2025 Open weights (unrestricted)

gpt-oss-20b

gpt-oss-20b (OpenAI) was released on Aug 5, 2025. In the Epoch AI capability ranking (ECI), it ranks #133 out of 267 models, with 137.81. On Arena, which measures human preference in blind comparisons, it has 1,315 ELO points (#239). Against models of the same generation, its best result is on CritPt: 1.4%, #4 of 30.

#133 of 267 in the ECI ranking
137.81 ECI, the Epoch AI capability index
1,315 Arena ELO, human preference · #239
not measured LiveBench, overall average from 0 to 100
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What the tests say

Where gpt-oss-20b stands out and where it falls behind, by the numbers

gpt-oss-20b has published results on 9 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Nov 8, 2024 and Nov 3, 2025 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.

Where it stands out

Tests where it sits in the top third of its own generation.

CritPt1.4%
#4 of 30 in its generation · #71 of 112 overall

Where it falls behind

Tests where it sits in the bottom half of its own generation.

Terminal-Bench3.4%
#11 of 11 in its generation · record: 84.7% (GPT-5.5)
Lmca14.51
#31 of 38 in its generation · record: 68.23 (Claude Opus 5.5)
ALE-Bench566
#14 of 18 in its generation · record: 2,951 (GPT-6 Astra)
GPQA Diamond60.8%
#34 of 53 in its generation · record: 96.4% (Gemini 4 Argon)
WeirdML40.9%
#22 of 38 in its generation · record: 93.6% (GPT-6 Astra)
See all 9 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 60.8% #34 / 53 #116 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 65.3% #23 / 53 #105 / 168 100.0% GPT-5.5
Dtbench 68.0% #25 / 46 #94 / 148 98.9% Claude Opus 5.5
Lmca 14.51 #31 / 38 #104 / 121 68.23 Claude Opus 5.5
CritPt 1.4% #4 / 30 #71 / 112 32.3% GPT-5.6 Sol
WeirdML 40.9% #22 / 38 #71 / 112 93.6% GPT-6 Astra
SciCode 34.4% #14 / 26 #88 / 104 66.9% Claude Opus 5.5
ALE-Bench 566 #14 / 18 #74 / 82 2,951 GPT-6 Astra
Terminal-Bench 3.4% #11 / 11 #33 / 33 84.7% GPT-5.5

For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.

Comparison

What to compare gpt-oss-20b with

The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.

ModelLabECIELOLiveBenchRelease
Grok 3 xAI 138.32 n/a n/a Apr 9, 2025
gpt-oss-20b OpenAI 137.81 1,315 n/a Aug 5, 2025
QwQ-32B Alibaba 137.58 1,378 n/a Mar 5, 2025
DeepSeek-R1-Distill-Qwen-32B DeepSeek 137.42 n/a n/a Jan 20, 2025
Qwen3-30B-A3B-Instruct (Jul 2025) Alibaba 137.42 n/a n/a Jul 29, 2025
DeepSeek-V3 (Mar 2025) DeepSeek 135.93 1,346 n/a Mar 24, 2025
Mistral Medium 3.1 Mistral AI 135.67 n/a n/a Aug 12, 2025
Head to head

gpt-oss-20b or DeepSeek-V3 (Mar 2025)?

DeepSeek-V3 (Mar 2025) is the model from another lab closest to gpt-oss-20b in capability. Across the 7 tests both took, this is the score:

gpt-oss-20b ahead on 4 DeepSeek-V3 (Mar 2025) ahead on 3
Largest differences first
Testgpt-oss-20bDeepSeek-V3 (Mar 2025)
CritPt 1.4% 0.0%
AIME 2024 and 2025 (OTIS) 65.3% 37.8%
SciCode 34.4% 39.0%
WeirdML 40.9% 36.1%
GPQA Diamond 60.8% 67.6%
Lmca 14.51 15.47
Dtbench 68.0% 64.8%

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Family

Other models from OpenAI

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
GPT-5.1 Nov 13, 2025 149.76 1,495 n/a API access
GPT-5 Pro Oct 7, 2025 150.74 n/a n/a API access
GPT-5 Aug 7, 2025 150.00 1,436 n/a API access
GPT-5 mini Aug 7, 2025 145.43 1,406 n/a API access
GPT-5 nano Aug 7, 2025 139.33 1,356 n/a API access
gpt-oss-120b Aug 5, 2025 140.00 1,385 n/a Open weights (unrestricted)
gpt-oss-20b Aug 5, 2025 137.81 1,315 n/a Open weights (unrestricted)
o3-pro Jun 10, 2025 147.37 n/a n/a API access
o3 Apr 16, 2025 146.87 n/a n/a API access
Your rating

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Frequently asked questions

What people ask about gpt-oss-20b

Where does gpt-oss-20b rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, gpt-oss-20b ranks #133 out of 267 models, with an ECI of 137.81. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.

Is gpt-oss-20b better than DeepSeek-V3 (Mar 2025)?

Across the 7 tests both models took and Epoch AI compiled, gpt-oss-20b comes out ahead on 4, behind on 3 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.

What is gpt-oss-20b best at?

Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of gpt-oss-20b are: CritPt (#4 of 30). The yardstick is its position among the models of that period that took the same test.

Where do the numbers on this page come from?

From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.

Sources

Where each number comes from

Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.

The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.

LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.

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