# Amazon Nova Micro vs Qwen3.5 122B-A10B

> Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.4 on the Noometry Index. Amazon Nova Micro costs 18× less per token, which makes it the better buy when Qwen3.5 122B-A10B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-qwen3-5-122b-a10b
- Last updated: 2026-10-12
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 39.5.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 5.5% for Amazon Nova Micro and 11.2% for Qwen3.5 122B-A10B.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.
- Qwen3.5 122B-A10B accepts more context: 262K tokens versus 128K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.4 | 42.1 |
| Rank | 294 | 119 |
| Context | 128K | 262K |
| Input $/M | $0.035 | $0.40 |
| Output $/M | $0.14 | $3.20 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.5 (#295)
- Qwen3.5 122B-A10B: 39.1 (#162)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1218 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| LiveBench Coding | 20.2% | — |

## Agentic & Tool Use

- Amazon Nova Micro: 22.1 (#132)
- Qwen3.5 122B-A10B: —

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |

## Reasoning

- Amazon Nova Micro: 17.4 (#294)
- Qwen3.5 122B-A10B: 27.2 (#123)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1421 |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 32.2% |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 26.9 (#254)
- Qwen3.5 122B-A10B: 39.1 (#112)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1206 | 1432 |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.6 (#237)
- Qwen3.5 122B-A10B: 38.8 (#142)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 11.2% |
| LMArena Expert | 1184 | 1432 |
| MMLU-Pro | 51.1% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- Qwen3.5 122B-A10B: 39.6 (#57)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- Amazon Nova Micro: 36.5 (#239)
- Qwen3.5 122B-A10B: 51.6 (#107)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1186 | 1400 |
| LMArena Chinese | 1209 | 1462 |
| LMArena French | 1238 | 1442 |
| LMArena German | 1192 | 1426 |
| LMArena Japanese | 1154 | 1367 |
| LMArena Korean | 1150 | 1352 |
| LMArena Russian | 1185 | 1400 |
| LMArena Spanish | 1225 | 1424 |

## Instruction Following

- Amazon Nova Micro: 56.3 (#272)
- Qwen3.5 122B-A10B: 73.8 (#115)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1399 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#229)
- Qwen3.5 122B-A10B: 43.0 (#109)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1205 | 1410 |

## Writing & Preference

- Amazon Nova Micro: 39.5 (#247)
- Qwen3.5 122B-A10B: 60.0 (#105)

| Benchmark | Amazon Nova Micro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1208 | 1417 |
| LMArena Creative Writing | 1172 | 1368 |
| LMArena Multi-Turn | 1178 | 1416 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.4 on the Noometry Index. Amazon Nova Micro costs 18× less per token, which makes it the better buy when Qwen3.5 122B-A10B's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or Qwen3.5 122B-A10B?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen3.5 122B-A10B lists at $0.40 and $3.20.

### Is Amazon Nova Micro or Qwen3.5 122B-A10B better for coding?

Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 128K.

### How many benchmarks do Amazon Nova Micro and Qwen3.5 122B-A10B share?

18 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Qwen3.5 122B-A10B has 27.