# Amazon Nova Pro vs Qwen2.5-Coder-32B

> Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 31.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-qwen2-5-coder-32b
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Amazon Nova Pro scores higher in 5 categories and Qwen2.5-Coder-32B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Amazon Nova Pro leads 35.1 to 22.6.
- The biggest single-benchmark swing is LiveBench Coding: 38.1% for Amazon Nova Pro and 56.9% for Qwen2.5-Coder-32B.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 33.4 |
| Rank | 281 | 245 |
| Context | 300K | 33K |
| Input $/M | $0.80 | $0.66 |
| Output $/M | $3.20 | $1 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- Qwen2.5-Coder-32B: 22.6 (#333)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Coding | 38.1% | 56.9% |
| LMArena Coding | 1270 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- Qwen2.5-Coder-32B: —

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- Qwen2.5-Coder-32B: 21.2 (#225)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Reasoning | 32.6% | 42.1% |
| LMArena Hard Prompts | 1246 | 1251 |
| LiveBench Data Analysis | 48.3% | 49.9% |
| Epoch Capabilities Index | 123.8 | 119.49 |
| LiveBench | 43.5% | 46.2% |
| HellaSwag | — | 83% |
| WinoGrande | — | 80.8% |

## Math

- Amazon Nova Pro: 28.5 (#243)
- Qwen2.5-Coder-32B: 33.3 (#204)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | 38% | 46.6% |
| LMArena Math | 1252 | 1251 |
| Omni-MATH | 24.2% | — |
| GSM8K | — | 93% |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- Qwen2.5-Coder-32B: 33.4 (#203)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1211 | 1221 |
| MMLU | 82% | 79.1% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| ARC (AI2) Challenge | — | 70.5% |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- Qwen2.5-Coder-32B: —

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- Qwen2.5-Coder-32B: 37.8 (#235)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1234 | 1205 |
| LMArena Chinese | 1244 | 1222 |
| LMArena Russian | 1240 | 1228 |
| LMArena French | 1271 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Spanish | 1182 | — |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- Qwen2.5-Coder-32B: 61.4 (#245)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | 67.1% | 58.7% |
| LMArena Instruction Following | 1235 | 1223 |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- Qwen2.5-Coder-32B: 38.0 (#208)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1255 | 1251 |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- Qwen2.5-Coder-32B: 41.6 (#240)

| Benchmark | Amazon Nova Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1259 | 1230 |
| LMArena Creative Writing | 1212 | 1174 |
| LMArena Multi-Turn | 1246 | 1222 |
| LiveBench Language | 37% | 23.3% |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |

## FAQ

### Is Amazon Nova Pro better than Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 31.0 on the Noometry Index.

### Which is cheaper, Amazon Nova Pro or Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Qwen2.5-Coder-32B better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 22.6 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 33K.

### How many benchmarks do Amazon Nova Pro and Qwen2.5-Coder-32B share?

21 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5-Coder-32B has 31.