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

> Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 12× less per token, which makes it the better buy when Qwen2.5-Coder-32B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Amazon Nova Micro scores higher in 1 category and Qwen2.5-Coder-32B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Amazon Nova Micro leads 30.0 to 22.4.
- The biggest single-benchmark swing is LiveBench Coding: 20.2% for Amazon Nova Micro and 56.9% for Qwen2.5-Coder-32B.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Amazon Nova Micro accepts more context: 128K tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 29.9 | 32.9 |
| Rank | 290 | 239 |
| Context | 128K | 33K |
| Input $/M | $0.035 | $0.66 |
| Output $/M | $0.14 | $1 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Coding | 20.2% | 56.9% |
| LMArena Coding | 1218 | 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 Micro: 21.9 (#125)
- Qwen2.5-Coder-32B: —

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Reasoning | 25.1% | 42.1% |
| LMArena Hard Prompts | 1191 | 1251 |
| LiveBench Data Analysis | 34% | 49.9% |
| LiveBench | 29.6% | 46.2% |
| Epoch Capabilities Index | — | 119.41 |
| HellaSwag | — | 83% |
| WinoGrande | — | 80.8% |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | 34.5% | 46.6% |
| LMArena Math | 1206 | 1251 |
| Omni-MATH | 21.4% | — |
| GSM8K | — | 93% |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1184 | 1221 |
| MMLU | 70.8% | 79.1% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| ARC (AI2) Challenge | — | 70.5% |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1186 | 1205 |
| LMArena Chinese | 1209 | 1222 |
| LMArena Russian | 1185 | 1228 |
| LMArena French | 1237 | — |
| LMArena German | 1192 | — |
| LMArena Japanese | 1154 | — |
| LMArena Korean | 1150 | — |
| LMArena Spanish | 1225 | — |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | 48% | 58.7% |
| LMArena Instruction Following | 1174 | 1223 |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1206 | 1251 |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | Amazon Nova Micro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1208 | 1230 |
| LMArena Creative Writing | 1172 | 1174 |
| LMArena Multi-Turn | 1178 | 1222 |
| LiveBench Language | 15.8% | 23.3% |
| WildBench | 74.3% | — |

## FAQ

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

Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 12× less per token, which makes it the better buy when Qwen2.5-Coder-32B's lead doesn't matter for your workload.

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

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

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

Amazon Nova Micro scores higher on coding benchmarks: 30.0 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Micro does, with 128K tokens against 33K.

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

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