Model comparison
Mistral 7B vs Qwen3-1.7B
Qwen3-1.7B is the stronger model overall, scoring 26.6 to 23.0 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)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 7.4.
- The biggest single-benchmark swing is GPQA Diamond: 15.2% for Mistral 7B and 38% for Qwen3-1.7B.
Side by side
| Mistral 7B | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 26.6 |
| Released | 2023-09-27 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 4 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral 7B: 26.4 (#326), 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 Not comparable
Mistral 7B: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Mistral 7B: 13.1 (#336), Qwen3-1.7B: 19.2 (#267)
| 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 | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3-1.7B leads
Mistral 7B: 8.1 (#325), Qwen3-1.7B: 16.3 (#294)
| 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 Qwen3-1.7B leads
Mistral 7B: 7.4 (#311), Qwen3-1.7B: 19.6 (#278)
| 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 Not comparable
Mistral 7B: 25.8 (#283), Qwen3-1.7B: —
| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Qwen3-1.7B: —
| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Qwen3-1.7B: —
| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Qwen3-1.7B: —
| Benchmark | Mistral 7B | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen3-1.7B?
Qwen3-1.7B is the stronger model overall, scoring 26.6 to 23.0 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.