Coding · OpenAI

o4 on SWE-bench Verified: score, rank and what it means

o4 scores 74.8 on SWE-bench Verified, placing it #43 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
74.8
0–100 scale
Rank
#43
of 600
Percentile
93th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
6.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with o4 highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, o4 sits at #43 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 6.9 points. The median model in this index scores 61.0, which puts o4 above the midpoint.

OpenAI models average 72.7 on this benchmark. o4 is 2.1 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 75.6. o4 is 0.8 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 74.8 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $17.74 per million input tokens, o4 is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7
Kimi K2 Instruct Moonshot AI 1000000 $5.80 82.3
Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7
GPT-4.1 Max OpenAI 400000 $17.34 84.7
o4 OpenAI 2000000 $17.74 85.4
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

Other benchmarks for o4

BenchmarkScoreRankPercentileRelative
MMLU-Pro 85.3 59 90th
GPQA Diamond 82.3 27 96th
HumanEval 89.6 56 91th
MATH-500 90.5 44 93th
AIME 2025 85.3 36 94th
LiveCodeBench 81.4 29 95th
IFEval 92.8 23 96th
TruthfulQA 85.0 65 89th
HellaSwag 91.0 63 90th
MMMU 80.9 45 93th
Arena Elo 1469.4 33 95th

FAQ

What score does o4 get on SWE-bench Verified?

o4 scores 74.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does o4 rank on SWE-bench Verified?

It ranks #43 of 600 models, in the 93rd percentile. The leader is GPT-5.2 Pro at 81.7.

Is o4 good at SWE-bench Verified?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the SWE-bench Verified score calculated?

SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does o4 cost?

o4 costs $17.74 per million input tokens and $66.00 per million output tokens.

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