Coding · OpenAI

GPT-5.1 Max on SWE-bench Verified: score, rank and what it means

GPT-5.1 Max scores 75.6 on SWE-bench Verified, placing it #33 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
75.6
0–100 scale
Rank
#33
of 600
Percentile
95th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
6.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-5.1 Max 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-5.1 Max sits at #33 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 6.1 points. The median model in this index scores 61.0, which puts GPT-5.1 Max above the midpoint.

OpenAI models average 72.7 on this benchmark. GPT-5.1 Max is 2.9 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-5.1 Max is 0.0 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 75.6 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 $20.50 per million input tokens, GPT-5.1 Max 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
GPT-5.1 OpenAI 2000000 $19.01 86.0
GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
Qwen3-Max Turbo Alibaba Cloud 1000000 $17.70 84.7
Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
GPT-5.1 Max OpenAI 2000000 $20.50 87.9
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2
o4 Vision OpenAI 200000 $17.01 84.5

Other benchmarks for GPT-5.1 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 91.3 2 100th
GPQA Diamond 86.4 2 100th
HumanEval 92.2 18 97th
MATH-500 91.3 35 94th
AIME 2025 88.8 11 98th
LiveCodeBench 80.2 41 93th
IFEval 92.2 35 94th
TruthfulQA 91.1 1 100th
HellaSwag 93.1 21 97th
MMMU 85.1 5 99th
Arena Elo 1478.2 22 96th

FAQ

What score does GPT-5.1 Max get on SWE-bench Verified?

GPT-5.1 Max scores 75.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does GPT-5.1 Max rank on SWE-bench Verified?

It ranks #33 of 600 models, in the 95th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-5.1 Max 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-5.1 Max cost?

GPT-5.1 Max costs $20.50 per million input tokens and $103.98 per million output tokens.

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