# Mistral 7B vs Qwen3-1.7B

> Qwen3-1.7B is the stronger model overall, scoring 26.2 to 22.9 on the Noometry Index.

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

## Summary

- They share 3 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3-1.7B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-1.7B leads 19.6 to 7.3.
- The biggest single-benchmark swing is GPQA Diamond: 15.2% for Mistral 7B and 38% for Qwen3-1.7B.

## Snapshot

| | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 26.2 |
| Rank | 346 | 331 |
| Context | 8K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.25 | — |
| Weights | Open | Open |

## Coding

- Mistral 7B: 25.9 (#321)
- Qwen3-1.7B: —

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |

## Agentic & Tool Use

- Mistral 7B: —
- Qwen3-1.7B: 24.5 (#108)

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |

## Reasoning

- Mistral 7B: 12.6 (#331)
- Qwen3-1.7B: 18.5 (#263)

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |

## Math

- Mistral 7B: 7.6 (#319)
- Qwen3-1.7B: 15.4 (#288)

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 8.1% |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |

## Knowledge

- Mistral 7B: 7.3 (#306)
- Qwen3-1.7B: 19.6 (#273)

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 15.2% | 38% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |

## Multilingual

- Mistral 7B: 26.0 (#278)
- Qwen3-1.7B: —

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1036 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |

## Instruction Following

- Mistral 7B: 54.5 (#275)
- Qwen3-1.7B: —

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |

## Long Context

- Mistral 7B: 32.2 (#266)
- Qwen3-1.7B: —

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1060 | — |

## Writing & Preference

- Mistral 7B: 30.9 (#281)
- Qwen3-1.7B: —

| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |

## FAQ

### Is Mistral 7B better than Qwen3-1.7B?

Qwen3-1.7B is the stronger model overall, scoring 26.2 to 22.9 on the Noometry Index.

### How many benchmarks do Mistral 7B and Qwen3-1.7B share?

3 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3-1.7B has 4.