# Amazon Nova Micro vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.9 on the Noometry Index. Amazon Nova Micro costs 3.5× less per token, which makes it the better buy when Qwen3-30B-A3B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Amazon Nova Micro scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.9 to 39.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 22.3% for Amazon Nova Micro and 41.4% for Qwen3-30B-A3B.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.12 / $0.50 for Qwen3-30B-A3B.
- Amazon Nova Micro accepts more context: 128K tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 29.9 | 38.5 |
| Rank | 290 | 174 |
| Context | 128K | 41K |
| Input $/M | $0.035 | $0.12 |
| Output $/M | $0.14 | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1218 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LiveBench Coding | 20.2% | — |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 41.4% |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 69.3% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1206 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1184 | 1395 |
| GPQA Diamond | — | 70.1% |
| MMLU-Pro | 51.1% | — |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1186 | 1372 |
| LMArena Chinese | 1209 | 1434 |
| LMArena French | 1237 | 1419 |
| LMArena German | 1192 | 1379 |
| LMArena Japanese | 1154 | 1338 |
| LMArena Korean | 1150 | 1333 |
| LMArena Russian | 1185 | 1369 |
| LMArena Spanish | 1225 | 1403 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1364 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1206 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | Amazon Nova Micro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1208 | 1384 |
| LMArena Creative Writing | 1172 | 1318 |
| LMArena Multi-Turn | 1178 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.9 on the Noometry Index. Amazon Nova Micro costs 3.5× less per token, which makes it the better buy when Qwen3-30B-A3B's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or Qwen3-30B-A3B?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen3-30B-A3B lists at $0.12 and $0.50.

### Is Amazon Nova Micro or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 30.0 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Micro does, with 128K tokens against 41K.

### How many benchmarks do Amazon Nova Micro and Qwen3-30B-A3B share?

18 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Qwen3-30B-A3B has 32.