# Mistral Small vs Qwen3-1.7B

> Mistral Small is the stronger model overall, scoring 33.4 to 26.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-small-vs-qwen3-1-7b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Mistral Small scores higher in 4 categories and Qwen3-1.7B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 19.6.
- The biggest single-benchmark swing is GPQA Diamond: 47.5% for Mistral Small and 38% for Qwen3-1.7B.

## Snapshot

| | Mistral Small | Qwen3-1.7B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 26.6 |
| Rank | 243 | 336 |
| Context | 262K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- Mistral Small: 34.0 (#247)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Qwen3-1.7B: 24.7 (#115)

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | 28.4% |

## Reasoning

- Mistral Small: 19.8 (#250)
- Qwen3-1.7B: 19.2 (#267)

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |

## Math

- Mistral Small: 16.4 (#293)
- Qwen3-1.7B: 16.3 (#294)

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 8.1% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |

## Knowledge

- Mistral Small: 31.0 (#222)
- Qwen3-1.7B: 19.6 (#278)

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 47.5% | 38% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |

## Multimodal

- Mistral Small: 33.5 (#96)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.5 (#169)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |

## Long Context

- Mistral Small: 40.4 (#156)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1327 | — |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Qwen3-1.7B: —

| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |

## FAQ

### Is Mistral Small better than Qwen3-1.7B?

Mistral Small is the stronger model overall, scoring 33.4 to 26.6 on the Noometry Index.

### How many benchmarks do Mistral Small and Qwen3-1.7B share?

3 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3-1.7B has 4.