# Mistral Nemo vs Qwen3.5-9B

> Qwen3.5-9B is the stronger model overall, scoring 33.3 to 25.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-nemo-vs-qwen3-5-9b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and Qwen3.5-9B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 79% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.15 / $0.15 for Mistral Nemo.
- Qwen3.5-9B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.9 | 33.3 |
| Rank | 332 | 235 |
| Context | 128K | 262K |
| Input $/M | $0.15 | $0.10 |
| Output $/M | $0.15 | $0.15 |
| Weights | Open | Open |

## Coding

- Mistral Nemo: —
- Qwen3.5-9B: 35.3 (#213)

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |

## Agentic & Tool Use

- Mistral Nemo: 23.3 (#118)
- Qwen3.5-9B: 14.4 (#143)

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |

## Reasoning

- Mistral Nemo: 19.9 (#230)
- Qwen3.5-9B: 22.5 (#178)

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| DTBench | 48.6% | 71.2% |
| Epoch Capabilities Index | 118.63 | 139.45 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMCA | — | 24.5% |
| PIQA | 83.5% | — |

## Math

- Mistral Nemo: 23.5 (#263)
- Qwen3.5-9B: 33.5 (#174)

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |

## Knowledge

- Mistral Nemo: 12.3 (#293)
- Qwen3.5-9B: 46.0 (#77)

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 29.9% | 79% |
| BoolQ | 82.5% | — |

## Writing & Preference

- Mistral Nemo: 28.6 (#291)
- Qwen3.5-9B: —

| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| EQ-Bench Creative Writing | 881 | — |

## FAQ

### Is Mistral Nemo better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.3 to 25.9 on the Noometry Index.

### Which is cheaper, Mistral Nemo or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mistral Nemo lists at $0.15 and $0.15.

### Which has the bigger context window?

Qwen3.5-9B does, with 262K tokens against 128K.

### How many benchmarks do Mistral Nemo and Qwen3.5-9B share?

3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.5-9B has 10.