Coding · Amazon

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

Nova Pro Pro scores 68.2 on SWE-bench Verified, placing it #143 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
68.2
0–100 scale
Rank
#143
of 600
Percentile
76th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Nova Pro 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, Nova Pro Pro sits at #143 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 13.5 points. The median model in this index scores 61.0, which puts Nova Pro Pro above the midpoint.

Amazon models average 61.4 on this benchmark. Nova Pro Pro is 6.8 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 Pro is 1.8 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 68.2 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 $13.03 per million input tokens, Nova Pro 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
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
ERNIE 4.5 Baidu 65536 $13.44 80.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
MiniMax-Text MiniMax 32768 $4.44 77.0
Nova Pro Pro Amazon 200000 $13.03 79.5
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
ERNIE 4.0 Max Baidu 32768 $12.40 78.9

Other benchmarks for Nova Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.0 148 75th
GPQA Diamond 75.1 142 76th
HumanEval 84.2 130 78th
MATH-500 83.7 135 78th
AIME 2025 79.0 101 83th
LiveCodeBench 72.5 137 77th
IFEval 87.6 114 81th
TruthfulQA 81.7 134 78th
HellaSwag 87.2 168 72th
MMMU 73.8 198 67th
Arena Elo 1406.0 192 68th

FAQ

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

Nova Pro Pro scores 68.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

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

It ranks #143 of 600 models, in the 76th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Nova Pro 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 Nova Pro Pro cost?

Nova Pro Pro costs $13.03 per million input tokens and $59.36 per million output tokens.

Related