Model comparison
Mistral Medium vs Qwen1.5-14B
Mistral Medium is the stronger model overall, scoring 36.0 to 32.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral Medium scores higher in 6 categories and Qwen1.5-14B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.2 to 33.7.
Side by side
| Mistral Medium | Qwen1.5-14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 32.1 |
| Released | 2023-12-11 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 17 |
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Category by category
Coding Mistral Medium leads
Mistral Medium: 33.8 (#241), Qwen1.5-14B: 32.5 (#259)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1434 | 1138 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.1 (#84), Qwen1.5-14B: —
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Mistral Medium leads
Mistral Medium: 23.3 (#165), Qwen1.5-14B: 20.5 (#217)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1113 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
Math Qwen1.5-14B leads
Mistral Medium: 27.2 (#238), Qwen1.5-14B: 29.9 (#214)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1409 | 1125 |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen1.5-14B leads
Mistral Medium: 24.9 (#260), Qwen1.5-14B: 29.3 (#230)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1408 | 1094 |
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| MMLU | — | 68.6% |
Multimodal Not comparable
Mistral Medium: 34.6 (#82), Qwen1.5-14B: —
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.3 (#86), Qwen1.5-14B: 30.8 (#257)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1408 | 1095 |
| LMArena Chinese | 1448 | 1147 |
| LMArena French | 1460 | 1115 |
| LMArena German | 1433 | 1043 |
| LMArena Japanese | 1378 | 1019 |
| LMArena Russian | 1411 | 1046 |
| LMArena Spanish | 1433 | 1085 |
| LMArena Korean | 1382 | — |
Instruction Following Mistral Medium leads
Mistral Medium: 73.9 (#111), Qwen1.5-14B: 57.1 (#266)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1102 |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#108), Qwen1.5-14B: 33.7 (#252)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1406 | 1113 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.2 (#97), Qwen1.5-14B: 33.7 (#270)
| Benchmark | Mistral Medium | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1424 | 1128 |
| LMArena Creative Writing | 1391 | 1091 |
| LMArena Multi-Turn | 1418 | 1110 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Qwen1.5-14B?
Mistral Medium is the stronger model overall, scoring 36.0 to 32.1 on the Noometry Index.
Is Mistral Medium or Qwen1.5-14B better for coding?
Mistral Medium scores higher on coding benchmarks: 33.8 versus 32.5 in the Noometry coding category.
How many benchmarks do Mistral Medium and Qwen1.5-14B share?
16 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen1.5-14B has 17.