Coding · Amazon

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

Nova Pro Nano scores 53.2 on SWE-bench Verified, placing it #396 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
53.2
0–100 scale
Rank
#396
of 600
Percentile
34th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
28.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Nova Pro 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, Nova Pro Nano sits at #396 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 28.5 points. The median model in this index scores 61.0, which puts Nova Pro Nano below the midpoint.

Amazon models average 61.4 on this benchmark. Nova Pro Nano is 8.2 points below that provider line, so it is a weaker result than the average Amazon model.

Among mid-range models, the average is 54.9. Nova Pro Nano is 1.7 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 53.2 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 $5.44 per million input tokens, Nova Pro 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
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
Nova Pro Nano Amazon 8192 $5.44 65.4
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6

Other benchmarks for Nova Pro Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.4 426 29th
GPQA Diamond 60.6 399 34th
HumanEval 68.7 410 32th
MATH-500 65.4 417 31th
AIME 2025 57.8 402 33th
LiveCodeBench 58.4 383 36th
IFEval 74.0 405 33th
TruthfulQA 71.1 392 35th
HellaSwag 78.8 394 34th
MMMU 63.7 392 35th
Arena Elo 1301.3 418 30th

FAQ

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

Nova Pro Nano scores 53.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

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

It ranks #396 of 600 models, in the 34th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Nova Pro Nano good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Nova Pro Nano costs $5.44 per million input tokens and $20.47 per million output tokens.

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