Nova Pro Reasoning on SWE-bench Verified: score, rank and what it means
Nova Pro Reasoning scores 70.1 on SWE-bench Verified, placing it #109 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with Nova Pro Reasoning highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Reasoning sits at #109 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 11.6 points. The median model in this index scores 61.0, which puts Nova Pro Reasoning above the midpoint.
Amazon models average 61.4 on this benchmark. Nova Pro Reasoning is 8.7 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 Reasoning is 3.7 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 70.1 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 $13.48 per million input tokens, Nova Pro Reasoning 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Kimi K2 | Moonshot AI | 128000 | $5.85 | 83.0 |
| Kimi K2 Base | Moonshot AI | 65536 | $4.82 | 79.2 |
| Claude 3.7 Sonnet | Anthropic | 200000 | $14.91 | 81.6 |
| Llama 4 Scout Instruct | Meta AI | 32768 | $4.59 | 79.1 |
| Nova Pro Reasoning | Amazon | 200000 | $13.48 | 79.4 |
| Kimi K2 Chat | Moonshot AI | 400000 | $5.74 | 82.1 |
| Kimi K1.5 Chat | Moonshot AI | 128000 | $5.11 | 80.2 |
Other benchmarks for Nova Pro Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.5 | 197 | 67th | |
| GPQA Diamond | 73.4 | 192 | 68th | |
| HumanEval | 83.4 | 150 | 75th | |
| MATH-500 | 84.2 | 122 | 80th | |
| AIME 2025 | 74.1 | 179 | 70th | |
| LiveCodeBench | 74.2 | 104 | 83th | |
| IFEval | 87.4 | 124 | 79th | |
| TruthfulQA | 79.9 | 183 | 70th | |
| HellaSwag | 89.0 | 112 | 81th | |
| MMMU | 78.6 | 84 | 86th | |
| Arena Elo | 1415.8 | 165 | 73th |
FAQ
What score does Nova Pro Reasoning get on SWE-bench Verified?
Nova Pro Reasoning scores 70.1 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does Nova Pro Reasoning rank on SWE-bench Verified?
It ranks #109 of 600 models, in the 82nd percentile. The leader is GPT-5.2 Pro at 81.7.
Is Nova Pro Reasoning 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 Reasoning cost?
Nova Pro Reasoning costs $13.48 per million input tokens and $65.09 per million output tokens.