Coding · OpenAI

GPT-5.2 on SWE-bench Verified: score, rank and what it means

GPT-5.2 scores 80.2 on SWE-bench Verified, placing it #5 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
80.2
0–100 scale
Rank
#5
of 600
Percentile
99th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
1.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-5.2 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-5.2 sits at #5 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 1.5 points. The median model in this index scores 61.0, which puts GPT-5.2 above the midpoint.

OpenAI models average 72.7 on this benchmark. GPT-5.2 is 7.5 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-5.2 is 4.6 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 80.2 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 $19.71 per million input tokens, GPT-5.2 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-5.2 Pro OpenAI 2000000 $21.32 89.6
Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
GPT-5.2 Max OpenAI 1000000 $21.39 89.2
Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
GPT-5.2 OpenAI 2000000 $19.71 88.0
GPT-5.1 Pro OpenAI 200000 $19.77 87.8
o4 Max OpenAI 2000000 $19.51 86.2

Other benchmarks for GPT-5.2

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.9 7 99th
GPQA Diamond 84.9 6 99th
HumanEval 91.0 33 95th
MATH-500 90.6 39 94th
AIME 2025 90.6 4 99th
LiveCodeBench 79.7 46 92th
IFEval 93.6 16 97th
TruthfulQA 89.7 5 99th
HellaSwag 92.6 30 95th
MMMU 85.3 3 100th
Arena Elo 1478.0 23 96th

FAQ

What score does GPT-5.2 get on SWE-bench Verified?

GPT-5.2 scores 80.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does GPT-5.2 rank on SWE-bench Verified?

It ranks #5 of 600 models, in the 99th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-5.2 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-5.2 cost?

GPT-5.2 costs $19.71 per million input tokens and $85.71 per million output tokens.

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