Coding · OpenAI

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

GPT-5.1 Nano scores 63.1 on SWE-bench Verified, placing it #251 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
63.1
0–100 scale
Rank
#251
of 600
Percentile
58th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
18.6
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-5.1 Nano 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 Nano sits at #251 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 18.6 points. The median model in this index scores 61.0, which puts GPT-5.1 Nano above the midpoint.

OpenAI models average 72.7 on this benchmark. GPT-5.1 Nano is 9.6 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-5.1 Nano is 3.3 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 63.1 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 $9.56 per million input tokens, GPT-5.1 Nano 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
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
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Sonar Max Perplexity 32768 $11.60 77.8

Other benchmarks for GPT-5.1 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 278 54th
GPQA Diamond 71.2 235 61th
HumanEval 76.1 328 45th
MATH-500 79.5 220 63th
AIME 2025 66.1 328 45th
LiveCodeBench 63.9 323 46th
IFEval 82.6 257 57th
TruthfulQA 78.1 253 58th
HellaSwag 85.5 227 62th
MMMU 72.0 243 60th
Arena Elo 1378.2 280 53th

FAQ

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

GPT-5.1 Nano scores 63.1 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 Nano rank on SWE-bench Verified?

It ranks #251 of 600 models, in the 58th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-5.1 Nano 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 Nano cost?

GPT-5.1 Nano costs $9.56 per million input tokens and $43.06 per million output tokens.

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