# Mistral Nemo vs Qwen3.5-Flash

> Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 25.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-nemo-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and Qwen3.5-Flash in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 82.3% for Qwen3.5-Flash.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.40 for Qwen3.5-Flash.
- Qwen3.5-Flash accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.9 | 42.3 |
| Rank | 332 | 105 |
| Context | 128K | 1M |
| Input $/M | $0.15 | $0.10 |
| Output $/M | $0.15 | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Mistral Nemo: —
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | — | 1243 |
| LMArena Coding | — | 1412 |
| ALE-Bench | — | 221.8 |

## Agentic & Tool Use

- Mistral Nemo: 23.3 (#118)
- Qwen3.5-Flash: —

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- Mistral Nemo: 19.9 (#230)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| DTBench | 48.6% | 82.9% |
| Epoch Capabilities Index | 118.63 | 143.98 |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | — | 1404 |
| Mystery Game Puzzles | — | 20% |
| LMCA | — | 29.1% |
| PIQA | 83.5% | — |

## Math

- Mistral Nemo: 23.5 (#263)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| LMArena Math | — | 1407 |
| MATH Level 5 | 10.8% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 84.2% | — |

## Knowledge

- Mistral Nemo: 12.3 (#293)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 29.9% | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
| BoolQ | 82.5% | — |

## Multilingual

- Mistral Nemo: —
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | — | 1385 |
| LMArena Chinese | — | 1446 |
| LMArena French | — | 1412 |
| LMArena German | — | 1389 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1344 |
| LMArena Russian | — | 1379 |
| LMArena Spanish | — | 1399 |

## Instruction Following

- Mistral Nemo: —
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1374 |

## Long Context

- Mistral Nemo: —
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | — | 1392 |

## Writing & Preference

- Mistral Nemo: 28.6 (#291)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | Mistral Nemo | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | — | 1397 |
| LMArena Creative Writing | — | 1343 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1393 |

## FAQ

### Is Mistral Nemo better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 25.9 on the Noometry Index.

### Which is cheaper, Mistral Nemo or Qwen3.5-Flash?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.5-Flash lists at $0.10 and $0.40.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 128K.

### How many benchmarks do Mistral Nemo and Qwen3.5-Flash share?

3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.5-Flash has 32.