Model comparison
Mistral Large 3 vs Qwen3-1.7B
Mistral Large 3 is the stronger model overall, scoring 38.6 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Mistral Large 3 leads 36.0 to 15.4.
Side by side
| Mistral Large 3 | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 26.2 |
| Released | 2025-12-02 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 4 |
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Category by category
Coding Not comparable
Mistral Large 3: 34.1 (#230), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena WebDev | 1230 | — |
| LMArena Coding | 1447 | — |
Agentic & Tool Use Not comparable
Mistral Large 3: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Mistral Large 3: 14.6 (#314), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
Math Mistral Large 3 leads
Mistral Large 3: 36.0 (#131), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1415 | — |
Knowledge Mistral Large 3 leads
Mistral Large 3: 35.5 (#173), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| Vectara Hallucination Rate | 14.5% | — |
| LMArena Expert | 1421 | — |
Multimodal Not comparable
Mistral Large 3: 37.6 (#65), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Not comparable
Mistral Large 3: 52.6 (#79), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1412 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1456 | — |
| LMArena German | 1438 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1437 | — |
Instruction Following Not comparable
Mistral Large 3: 74.1 (#104), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1402 | — |
Long Context Not comparable
Mistral Large 3: 43.1 (#102), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Mistral Large 3: 60.2 (#100), Qwen3-1.7B: —
| Benchmark | Mistral Large 3 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1385 | — |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3-1.7B?
Mistral Large 3 is the stronger model overall, scoring 38.6 to 26.2 on the Noometry Index.
How many benchmarks do Mistral Large 3 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3-1.7B has 4.