Coding · Amazon

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

Nova Pro scores 65.6 on SWE-bench Verified, placing it #203 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
65.6
0–100 scale
Rank
#203
of 600
Percentile
66th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
16.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Nova 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 sits at #203 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 16.1 points. The median model in this index scores 61.0, which puts Nova Pro above the midpoint.

Amazon models average 61.4 on this benchmark. Nova Pro is 4.2 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 is 0.8 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 65.6 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 $12.75 per million input tokens, Nova 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
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Yi-Lightning 01.AI 32768 $4.22 77.2
Magistral Base Mistral AI 65536 $3.86 75.6
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Nova Pro Amazon 32768 $12.75 79.4
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7

Other benchmarks for Nova Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.1 181 70th
GPQA Diamond 73.9 172 71th
HumanEval 83.8 140 77th
MATH-500 80.6 199 67th
AIME 2025 78.9 103 83th
LiveCodeBench 73.5 120 80th
IFEval 87.8 109 82th
TruthfulQA 83.3 102 83th
HellaSwag 87.6 158 74th
MMMU 77.8 100 83th
Arena Elo 1425.3 128 79th

FAQ

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

Nova Pro scores 65.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Nova Pro rank on SWE-bench Verified?

It ranks #203 of 600 models, in the 66th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Nova 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 cost?

Nova Pro costs $12.75 per million input tokens and $56.71 per million output tokens.

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