# Amazon Nova Pro vs Qwen2.5-Max

> Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-qwen2-5-max
- Last updated: 2026-10-11
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5-Max leads 55.4 to 43.9.
- The biggest single-benchmark swing is LiveBench Coding: 38.1% for Amazon Nova Pro and 64.4% for Qwen2.5-Max.

## Snapshot

| | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 40.7 |
| Rank | 281 | 146 |
| Context | 300K | — |
| Input $/M | $0.80 | — |
| Output $/M | $3.20 | — |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- Qwen2.5-Max: 41.8 (#117)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | 38.1% | 64.4% |
| LMArena Coding | 1270 | 1359 |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- Qwen2.5-Max: —

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

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- Qwen2.5-Max: 25.6 (#147)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | 32.6% | 51.4% |
| LMArena Hard Prompts | 1246 | 1360 |
| LiveBench Data Analysis | 48.3% | 67.9% |
| Epoch Capabilities Index | 123.8 | 132.53 |
| LiveBench | 43.5% | 62.3% |

## Math

- Amazon Nova Pro: 28.5 (#243)
- Qwen2.5-Max: 36.9 (#162)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | 38% | 58.4% |
| LMArena Math | 1252 | 1369 |
| Omni-MATH | 24.2% | — |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- Qwen2.5-Max: 35.3 (#186)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| Confabulations | 30.1% | 21.8% |
| LMArena Expert | 1211 | 1337 |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- Qwen2.5-Max: —

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- Qwen2.5-Max: 48.1 (#146)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1234 | 1352 |
| LMArena Chinese | 1244 | 1382 |
| LMArena French | 1271 | 1396 |
| LMArena German | 1243 | 1350 |
| LMArena Japanese | 1200 | 1300 |
| LMArena Korean | 1203 | 1304 |
| LMArena Russian | 1240 | 1353 |
| LMArena Spanish | 1182 | 1377 |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- Qwen2.5-Max: 71.3 (#152)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | 67.1% | 75.3% |
| LMArena Instruction Following | 1235 | 1335 |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- Qwen2.5-Max: 41.4 (#142)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1255 | 1358 |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- Qwen2.5-Max: 55.4 (#146)

| Benchmark | Amazon Nova Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1259 | 1367 |
| LMArena Creative Writing | 1212 | 1339 |
| Short-Story Creative Writing | 60.5% | 72.9% |
| LMArena Multi-Turn | 1246 | 1364 |
| LiveBench Language | 37% | 56.3% |
| WildBench | 77.7% | — |

## FAQ

### Is Amazon Nova Pro better than Qwen2.5-Max?

Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.0 on the Noometry Index.

### Is Amazon Nova Pro or Qwen2.5-Max better for coding?

Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 35.1 in the Noometry coding category.

### How many benchmarks do Amazon Nova Pro and Qwen2.5-Max share?

27 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5-Max has 27.