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OpenAI released on Aug 7, 2025 API access

GPT-5

GPT-5 (OpenAI) was released on Aug 7, 2025. In the Epoch AI capability ranking (ECI), it ranks #56 out of 267 models, with 150.00. On Arena, which measures human preference in blind comparisons, it has 1,436 ELO points (#124). Against models of the same generation, its best result is on AIME 2024 and 2025 (OTIS): 91.4%, #1 of 53.

#56 of 267 in the ECI ranking
150.00 ECI, the Epoch AI capability index
1,436 Arena ELO, human preference · #124
not measured LiveBench, overall average from 0 to 100
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What the tests say

Where GPT-5 stands out and where it falls behind, by the numbers

GPT-5 has published results on 39 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Nov 10, 2024 and Nov 5, 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.

AIME 2024 and 2025 (OTIS)91.4%
#1 of 53 in its generation · #51 of 168 overall
Dtbench90.7%
#1 of 46 in its generation · #35 of 148 overall
Lmca39.99
#1 of 38 in its generation · #46 of 121 overall
WeirdML60.7%
#1 of 38 in its generation · #30 of 112 overall
MATH level 598.1%
#1 of 37 in its generation · #1 of 73 overall

Where it falls behind

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

It is not in the bottom half of its generation on any test with 6 or more models compared.

See all 39 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 86.2% #2 / 53 #62 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 91.4% #1 / 53 #51 / 168 100.0% GPT-5.5
Dtbench 90.7% #1 / 46 #35 / 148 98.9% Claude Opus 5.5
Lmca 39.99 #1 / 38 #46 / 121 68.23 Claude Opus 5.5
CritPt 12.6% #1 / 30 #44 / 112 32.3% GPT-5.6 Sol
WeirdML 60.7% #1 / 38 #30 / 112 93.6% GPT-6 Astra
SciCode 42.9% #3 / 26 #69 / 104 66.9% Claude Opus 5.5
Frontiermath Tiers 1 3 V2 55.4% #2 / 14 #47 / 86 93.7% GPT-6 Astra
ARC-AGI 2 9.9% #4 / 29 #50 / 83 95.0% GPT-6 Astra
ALE-Bench 1,162 #1 / 18 #31 / 82 2,951 GPT-6 Astra
WebDev Arena 1,420 #1 / 7 #57 / 82 1,820 Claude Opus 5.5
ARC-AGI 65.7% #3 / 29 #46 / 81 98.5% Claude Fable 5
SimpleQA Verified 50.1% #1 / 14 #27 / 81 76.0% Gemini 4 Argon
Chess puzzles 36.0% #3 / 13 #39 / 80 76.0% GPT-6 Astra
Game puzzles 23.0% #2 / 12 #37 / 77 84.0% GPT-6 Astra
ProofBench 18.0% #2 / 4 #51 / 74 100.0% Claude Fable 5.1
SimpleBench 56.7% #6 / 27 #31 / 74 81.9% Claude Fable 5
MATH level 5 98.1% #1 / 37 #1 / 73 98.1% GPT-5
Frontiermath Tier 4 V2 22.0% #1 / 9 #43 / 67 100.0% GPT-6.1 Sol
FrontierMath 32.4% #1 / 30 #16 / 65 51.7% GPT-5.5
ForecastBench 61.40 #7 / 24 (tied with 1) #8 / 62 62.50 o3
FrontierMath tier 4 12.5% #2 / 18 #14 / 48 39.6% GPT-5.5 Pro
Hle 25.3% #2 / 19 #15 / 39 54.8% GPT-6 Astra
Aider Polyglot 88.00 #1 / 31 #1 / 38 88.00 GPT-5
Creative writing (Lech Mazur) 8.60 #1 / 32 #1 / 38 8.60 GPT-5
EnigmaEval 10.5% #3 / 18 #13 / 36 39.3% Claude Fable 5
Terminal-Bench 49.6% #1 / 11 #14 / 33 84.7% GPT-5.5
BALROG 32.8% #5 / 10 #14 / 32 68.3% GPT-6 Astra
SWE-bench Verified 73.6% #1 / 9 #19 / 32 83.5% Claude Opus 4.7
Fiction.liveBench 96.9% #2 / 30 (tied with 1) #2 / 31 100.0% o3
METR: time horizon 203 #1 / 14 #8 / 29 719 Claude Opus 4.6
Gso 6.9% #4 / 9 #20 / 28 88.2% Claude Fable 5.1
Ebr Bench 12.7% #1 / 3 #20 / 27 76.2% GPT-6 Astra
DeepResearch Bench 49.6% #2 / 11 #8 / 24 55.3% Claude Opus 4.6
GeoBench 3,937 #2 / 14 #4 / 24 4,333 Gemini 3 Flash
VPCT 66.0% #1 / 14 #4 / 22 91.0% Gemini 3 Pro
Algotune 1.67 #3 / 9 #8 / 15 2.05 GPT-5.2
Rli 1.7% #2 / 3 #13 / 15 21.3% Claude Opus 5.5
GDPval 34.8% #3 / 7 #6 / 11 49.7% GPT-5.2

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-5 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
Kimi K2.6 Moonshot 150.92 1,521 70.5 Apr 20, 2026
Claude Opus 4.5 Anthropic 150.17 1,504 72.6 Nov 24, 2025
GPT-5 OpenAI 150.00 1,436 n/a Aug 7, 2025
GLM-5.1 Z.ai (Zhipu AI) 149.99 1,514 n/a Apr 7, 2026
Qwen 3.6 Max (Preview) Alibaba 149.24 1,488 n/a Apr 20, 2026
Grok 4.3 (no thinking) xAI 149.21 1,425 62.3 Apr 17, 2026
DeepSeek-V4-Pro DeepSeek 149.19 1,486 71.6 Apr 24, 2026
Head to head

GPT-5 or GLM-5.1?

GLM-5.1 is the model from another lab closest to GPT-5 in capability. Across the 15 tests both took, this is the score:

GPT-5 ahead on 7 GLM-5.1 ahead on 7 tied on 1
Largest differences first
TestGPT-5GLM-5.1
CritPt 12.6% 4.6%
Chess puzzles 36.0% 20.0%
Frontiermath Tiers 1 3 V2 55.4% 36.8%
SimpleQA Verified 50.1% 34.0%
ALE-Bench 1,162 887
ProofBench 18.0% 22.2%
WeirdML 60.7% 57.1%
WebDev Arena 1,420 1,508
GPQA Diamond 86.2% 89.9%
SciCode 42.9% 44.8%

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

Cost per task

What GPT-5 costs to deliver each task

Price per token is what is on the price sheet; cost per task is what lands on the invoice, because it depends on how many tokens the model spends. Each point is an effort level, published by whoever ran the test and compiled by Epoch AI. The further up and to the left, the more score per dollar.

ARC-AGI 2

The score scale does not start at zero.

0%11%22%32%43%US$ 0.10US$ 0.20US$ 0.50US$ 1US$ 2cost per task (log scale)GPT-5 · minimal · 0.0% · US$ 0.06minimalGPT-5 · low · 1.9% · US$ 0.19lowGPT-5 · medium · 7.5% · US$ 0.45mediumGPT-5 · high · 9.9% · US$ 0.73highClaude Opus 4.5 · · 7.8% · US$ 0.22Claude Opus 4.5 · · 22.8% · US$ 0.79Claude Opus 4.5 · · 37.6% · US$ 2.40
GPT-5Claude Opus 4.5

ARC-AGI

The score scale does not start at zero.

0%23%46%68%91%US$ 0.05US$ 0.10US$ 0.20US$ 0.50US$ 1cost per task (log scale)GPT-5 · minimal · 6.0% · US$ 0.03minimalGPT-5 · low · 44.0% · US$ 0.15lowGPT-5 · medium · 56.2% · US$ 0.33mediumGPT-5 · high · 65.7% · US$ 0.51highClaude Opus 4.5 · · 40.0% · US$ 0.13Claude Opus 4.5 · · 72.0% · US$ 0.62Claude Opus 4.5 · · 75.8% · US$ 0.95Claude Opus 4.5 · · 80.0% · US$ 1.47
GPT-5Claude Opus 4.5
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
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Frequently asked questions

What people ask about GPT-5

Where does GPT-5 rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, GPT-5 ranks #56 out of 267 models, with an ECI of 150.00. 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-5 better than GLM-5.1?

Across the 15 tests both models took and Epoch AI compiled, GPT-5 comes out ahead on 7, behind on 7 and tied on 1. 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-5 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-5 are: AIME 2024 and 2025 (OTIS) (#1 of 53); Dtbench (#1 of 46); Lmca (#1 of 38). 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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