# Amazon Nova Pro vs Qwen2.5 7B Instruct

> Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 4.6× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Amazon Nova Pro scores higher in 4 categories and Qwen2.5 7B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 28.5 to 12.6.
- The biggest single-benchmark swing is MMLU-Pro: 67.3% for Amazon Nova Pro and 53.9% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 29.0 |
| Rank | 281 | 320 |
| Context | 300K | 131K |
| Input $/M | $0.80 | $0.17 |
| Output $/M | $3.20 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- Qwen2.5 7B Instruct: 36.5 (#208)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LiveBench Coding | 38.1% | — |
| LMArena Coding | 1270 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- Qwen2.5 7B Instruct: 23.8 (#124)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| BALROG | — | 7.8% |

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- Qwen2.5 7B Instruct: 14.8 (#322)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 123.8 | 118.51 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| LMArena Hard Prompts | 1246 | — |
| DTBench | — | 47.7% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 6.4% |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 28.5 (#243)
- Qwen2.5 7B Instruct: 12.6 (#306)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Omni-MATH | 24.2% | 29.4% |
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| LiveBench Math | 38% | — |
| LMArena Math | 1252 | — |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- Qwen2.5 7B Instruct: 17.0 (#286)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU-Pro | 67.3% | 53.9% |
| GPQA (HELM) | 44.6% | 34.1% |
| MMLU | 82% | 72.9% |
| GPQA Diamond | — | 35.5% |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1211 | — |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- Qwen2.5 7B Instruct: —

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- Qwen2.5 7B Instruct: —

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1234 | — |
| LMArena Chinese | 1244 | — |
| LMArena French | 1271 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1240 | — |
| LMArena Spanish | 1182 | — |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- Qwen2.5 7B Instruct: 63.2 (#231)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 81.5% | 74.1% |
| LiveBench Instruction Following | 67.1% | — |
| LMArena Instruction Following | 1235 | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- Qwen2.5 7B Instruct: —

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1255 | — |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- Qwen2.5 7B Instruct: 48.8 (#195)

| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 77.7% | 73.1% |
| LMArena Text | 1259 | — |
| LMArena Creative Writing | 1212 | — |
| Short-Story Creative Writing | 60.5% | — |
| LMArena Multi-Turn | 1246 | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Qwen2.5 7B Instruct?

Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 4.6× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Qwen2.5 7B Instruct better for coding?

Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 35.1 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 131K.

### How many benchmarks do Amazon Nova Pro and Qwen2.5 7B Instruct share?

7 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5 7B Instruct has 15.