Coding · Amazon

Nova Pro Max on SWE-bench Verified: score, rank and what it means

Nova Pro Max scores 67.4 on SWE-bench Verified, placing it #158 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
67.4
0–100 scale
Rank
#158
of 600
Percentile
74th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
14.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Nova Pro 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, Nova Pro Max sits at #158 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 14.3 points. The median model in this index scores 61.0, which puts Nova Pro Max above the midpoint.

Amazon models average 61.4 on this benchmark. Nova Pro Max is 6.0 points above that provider line, so it is a stronger result than the average Amazon model.

Among multimodal models, the average is 66.4. Nova Pro Max is 1.0 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 67.4 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 $14.05 per million input tokens, Nova Pro 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
Llama 3.3 Chat Meta AI 32768 $4.18 76.9
Command R+ Instruct Cohere 200000 $4.16 76.2
ERNIE 4.5 Turbo Baidu 128000 $13.75 79.7
GLM-4.6 Zhipu AI 128000 $5.10 80.2
Nova Pro Max Amazon 1000000 $14.05 81.2
Reka Core Max Reka AI 128000 $13.41 79.3
Sonar Pro Perplexity 65536 $11.25 77.1

Other benchmarks for Nova Pro Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.2 77 87th
GPQA Diamond 78.3 78 87th
HumanEval 87.5 79 87th
MATH-500 83.8 129 79th
AIME 2025 79.3 97 84th
LiveCodeBench 77.0 71 88th
IFEval 86.4 148 75th
TruthfulQA 83.4 98 84th
HellaSwag 88.9 115 81th
MMMU 77.2 112 81th
Arena Elo 1423.2 133 78th

FAQ

What score does Nova Pro Max get on SWE-bench Verified?

Nova Pro Max scores 67.4 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Nova Pro Max rank on SWE-bench Verified?

It ranks #158 of 600 models, in the 74th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Nova Pro 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 Nova Pro Max cost?

Nova Pro Max costs $14.05 per million input tokens and $71.59 per million output tokens.

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