Model comparison
Mistral Medium vs Qwen-14B
Mistral Medium is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Mistral Medium scores higher in 6 categories and Qwen-14B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 27.6.
Side by side
| Mistral Medium | Qwen-14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 31.4 |
| Released | 2023-12-11 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 18 |
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Category by category
Coding Mistral Medium leads
Mistral Medium: 34.2 (#243), Qwen-14B: 31.2 (#288)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Coding | 1434 | 1071 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen-14B: —
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Qwen-14B: 19.6 (#257)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1027 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Qwen-14B leads
Mistral Medium: 28.1 (#245), Qwen-14B: 31.2 (#227)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Math | 1408 | 1068 |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Mistral Medium: 25.0 (#265), Qwen-14B: —
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen-14B: —
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), Qwen-14B: 27.5 (#275)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1408 | 1041 |
| LMArena Chinese | 1447 | 1077 |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Mistral Medium leads
Mistral Medium: 73.7 (#116), Qwen-14B: 52.4 (#289)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1031 |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), Qwen-14B: 31.3 (#280)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1406 | 1028 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Qwen-14B: 27.6 (#299)
| Benchmark | Mistral Medium | Qwen-14B |
|---|---|---|
| LMArena Text | 1424 | 1051 |
| LMArena Creative Writing | 1391 | 1028 |
| LMArena Multi-Turn | 1418 | 1022 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Qwen-14B?
Mistral Medium is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.
Is Mistral Medium or Qwen-14B better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 31.2 in the Noometry coding category.
How many benchmarks do Mistral Medium and Qwen-14B share?
10 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen-14B has 18.