Coding · OpenAI

o3 Mini on SWE-bench Verified: score, rank and what it means

o3 Mini scores 63.4 on SWE-bench Verified, placing it #247 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
63.4
0–100 scale
Rank
#247
of 600
Percentile
59th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
18.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with o3 Mini 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, o3 Mini sits at #247 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 18.3 points. The median model in this index scores 61.0, which puts o3 Mini above the midpoint.

OpenAI models average 72.7 on this benchmark. o3 Mini is 9.3 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 66.4. o3 Mini is 3.0 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 63.4 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 $10.68 per million input tokens, o3 Mini 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
Llama 3 Modal Modal 32768 $3.82 74.9
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Hunyuan-Turbo Tencent 128000 $10.55 75.8
o3 Mini OpenAI 128000 $10.68 76.2
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Seed-OSS Instruct ByteDance 128000 $3.79 76.0

Other benchmarks for o3 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.6 290 52th
GPQA Diamond 71.9 222 63th
HumanEval 81.5 200 67th
MATH-500 81.2 188 69th
AIME 2025 69.8 263 56th
LiveCodeBench 70.7 178 70th
IFEval 82.7 255 58th
TruthfulQA 79.6 199 67th
HellaSwag 86.4 203 66th
MMMU 74.0 193 68th
Arena Elo 1394.3 232 61th

FAQ

What score does o3 Mini get on SWE-bench Verified?

o3 Mini scores 63.4 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does o3 Mini rank on SWE-bench Verified?

It ranks #247 of 600 models, in the 59th percentile. The leader is GPT-5.2 Pro at 81.7.

Is o3 Mini 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 o3 Mini cost?

o3 Mini costs $10.68 per million input tokens and $45.84 per million output tokens.

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