Coding · OpenAI

GPT-4.1 Mini on SWE-bench Verified: score, rank and what it means

GPT-4.1 Mini scores 60.9 on SWE-bench Verified, placing it #304 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
60.9
0–100 scale
Rank
#304
of 600
Percentile
49th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
20.8
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-4.1 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, GPT-4.1 Mini sits at #304 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 20.8 points. The median model in this index scores 61.0, which puts GPT-4.1 Mini below the midpoint.

OpenAI models average 72.7 on this benchmark. GPT-4.1 Mini is 11.8 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 66.4. GPT-4.1 Mini is 5.5 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 60.9 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 $10.43 per million input tokens, GPT-4.1 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
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Auto Reasoning OpenRouter 65536 $8.39 71.5
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Firefunction Pro Fireworks AI 16384 $9.05 72.9
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Grok 4 Nano xAI 16384 $8.97 72.7
Nova Lite Amazon 65536 $9.20 73.4

Other benchmarks for GPT-4.1 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 285 53th
GPQA Diamond 69.3 285 53th
HumanEval 78.9 267 56th
MATH-500 77.9 259 57th
AIME 2025 66.9 314 48th
LiveCodeBench 67.0 249 59th
IFEval 81.4 289 52th
TruthfulQA 79.8 185 69th
HellaSwag 84.9 250 58th
MMMU 73.9 195 68th
Arena Elo 1379.7 274 54th

FAQ

What score does GPT-4.1 Mini get on SWE-bench Verified?

GPT-4.1 Mini scores 60.9 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does GPT-4.1 Mini rank on SWE-bench Verified?

It ranks #304 of 600 models, in the 49th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-4.1 Mini good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 GPT-4.1 Mini cost?

GPT-4.1 Mini costs $10.43 per million input tokens and $49.01 per million output tokens.

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