# Amazon Nova Pro vs Qwen3.5 35B-A3B

> Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 30.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-qwen3-5-35b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 1 category and Qwen3.5 35B-A3B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.7 to 27.1.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 5.1% for Amazon Nova Pro and 10.5% for Qwen3.5 35B-A3B.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.5 | 41.7 |
| Rank | 278 | 118 |
| Context | 300K | 262K |
| Input $/M | $0.80 | $0.25 |
| Output $/M | $3.20 | $2 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- Qwen3.5 35B-A3B: 33.5 (#244)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Coding | 1270 | 1410 |
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| LiveBench Coding | 38.1% | — |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- Qwen3.5 35B-A3B: —

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- Qwen3.5 35B-A3B: 23.9 (#158)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1400 |
| Epoch Capabilities Index | 123.75 | 142.52 |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 80% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 29.5% |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 26.4 (#240)
- Qwen3.5 35B-A3B: 38.4 (#86)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Math | 1252 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- Qwen3.5 35B-A3B: 47.7 (#73)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| Vectara Hallucination Rate | 5.1% | 10.5% |
| LMArena Expert | 1211 | 1408 |
| GPQA Diamond | — | 83.5% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- Qwen3.5 35B-A3B: —

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- Qwen3.5 35B-A3B: 50.2 (#122)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1234 | 1379 |
| LMArena Chinese | 1244 | 1458 |
| LMArena French | 1270 | 1412 |
| LMArena German | 1243 | 1367 |
| LMArena Japanese | 1200 | 1326 |
| LMArena Korean | 1203 | 1354 |
| LMArena Russian | 1240 | 1377 |
| LMArena Spanish | 1182 | 1390 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- Qwen3.5 35B-A3B: 73.0 (#123)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1379 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- Qwen3.5 35B-A3B: 42.4 (#122)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1255 | 1390 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- Qwen3.5 35B-A3B: 58.1 (#118)

| Benchmark | Amazon Nova Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1259 | 1395 |
| LMArena Creative Writing | 1212 | 1347 |
| LMArena Multi-Turn | 1245 | 1391 |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 30.5 on the Noometry Index.

### Which is cheaper, Amazon Nova Pro or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Qwen3.5 35B-A3B better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 34.6 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 262K.

### How many benchmarks do Amazon Nova Pro and Qwen3.5 35B-A3B share?

19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3.5 35B-A3B has 28.