# Amazon Nova Micro vs Qwen3.5 397B-A17B

> Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 29.9 on the Noometry Index. Amazon Nova Micro costs 22× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-qwen3-5-397b-a17b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and Qwen3.5 397B-A17B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 29.2.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.60 / $3.60 for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B accepts more context: 262K tokens versus 128K.
- Qwen3.5 397B-A17B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 29.9 | 45.7 |
| Rank | 290 | 60 |
| Context | 128K | 262K |
| Input $/M | $0.035 | $0.60 |
| Output $/M | $0.14 | $3.60 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Qwen3.5 397B-A17B: 41.7 (#108)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 1218 | 1464 |
| LMArena WebDev | — | 1400 |
| LiveBench Coding | 20.2% | — |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- Qwen3.5 397B-A17B: 33.2 (#51)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Qwen3.5 397B-A17B: 33.6 (#62)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1448 |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 37.9% |
| Epoch Capabilities Index | — | 146.64 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Qwen3.5 397B-A17B: 44.9 (#64)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Math | 1206 | 1455 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Qwen3.5 397B-A17B: 53.3 (#53)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Expert | 1184 | 1461 |
| GPQA Diamond | — | 86.4% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- Qwen3.5 397B-A17B: 40.0 (#42)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1262 |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Qwen3.5 397B-A17B: 54.0 (#56)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1186 | 1431 |
| LMArena Chinese | 1209 | 1501 |
| LMArena French | 1237 | 1461 |
| LMArena German | 1192 | 1447 |
| LMArena Japanese | 1154 | 1427 |
| LMArena Korean | 1150 | 1382 |
| LMArena Russian | 1185 | 1429 |
| LMArena Spanish | 1225 | 1443 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Qwen3.5 397B-A17B: 75.2 (#73)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1424 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Qwen3.5 397B-A17B: 44.1 (#71)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1206 | 1442 |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Qwen3.5 397B-A17B: 62.5 (#74)

| Benchmark | Amazon Nova Micro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1208 | 1438 |
| LMArena Creative Writing | 1172 | 1401 |
| LMArena Multi-Turn | 1178 | 1447 |
| EQ-Bench Creative Writing | — | 1478 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 29.9 on the Noometry Index. Amazon Nova Micro costs 22× less per token, which makes it the better buy when Qwen3.5 397B-A17B's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or Qwen3.5 397B-A17B?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen3.5 397B-A17B lists at $0.60 and $3.60.

### Is Amazon Nova Micro or Qwen3.5 397B-A17B better for coding?

Qwen3.5 397B-A17B scores higher on coding benchmarks: 41.7 versus 30.0 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5 397B-A17B does, with 262K tokens against 128K.

### How many benchmarks do Amazon Nova Micro and Qwen3.5 397B-A17B share?

17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Qwen3.5 397B-A17B has 36.