Coding · OpenAI

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

GPT-4.1 Pro scores 77.3 on SWE-bench Verified, placing it #21 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
77.3
0–100 scale
Rank
#21
of 600
Percentile
97th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
4.4
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-4.1 Pro 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 Pro sits at #21 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 4.4 points. The median model in this index scores 61.0, which puts GPT-4.1 Pro above the midpoint.

OpenAI models average 72.7 on this benchmark. GPT-4.1 Pro is 4.6 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 75.6. GPT-4.1 Pro is 1.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 77.3 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 $17.56 per million input tokens, GPT-4.1 Pro 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
Grok 4 xAI 200000 $17.90 86.5
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Claude Opus 4.5 Anthropic 400000 $19.42 87.7
o3 Pro OpenAI 400000 $17.89 85.8

Other benchmarks for GPT-4.1 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.9 38 94th
GPQA Diamond 78.2 81 87th
HumanEval 91.9 23 96th
MATH-500 88.8 61 90th
AIME 2025 82.8 56 91th
LiveCodeBench 76.7 73 88th
IFEval 92.2 34 94th
TruthfulQA 87.7 25 96th
HellaSwag 93.7 16 97th
MMMU 81.5 38 94th
Arena Elo 1449.6 73 88th

FAQ

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

GPT-4.1 Pro scores 77.3 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 Pro rank on SWE-bench Verified?

It ranks #21 of 600 models, in the 97th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-4.1 Pro 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 GPT-4.1 Pro cost?

GPT-4.1 Pro costs $17.56 per million input tokens and $91.14 per million output tokens.

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