Model comparison
Mistral Medium vs Qwen3 14B
Mistral Medium and Qwen3 14B score almost the same on the Noometry Index (36.3 vs 35.5), so choose on price, context window or the category you care about most.
Last verified . 9 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Mistral Medium scores higher in 2 categories and Qwen3 14B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 66.4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Medium | Qwen3 14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 35.5 |
| Released | 2023-12-11 | 2025-04 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 8K |
| Input $ / M tokens | $1.50 | $0.35 |
| Output $ / M tokens | $7.50 | $1.40 |
| Results tracked | 36 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 14B leads
Mistral Medium: 34.2 (#243), Qwen3 14B: 37.3 (#195)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| SciCode | 40.2% | 31.6% |
| FrontierCode | 8% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Qwen3 14B leads
Mistral Medium: 28.3 (#90), Qwen3 14B: 29.6 (#83)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | 41% |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Qwen3 14B: 18.5 (#280)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 50% | 49.1% |
| CritPt | 0% | 0% |
| DTBench | 75.5% | 64% |
| LMCA | 26.1% | 18.2% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1426 | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 138.23 |
Math Qwen3 14B leads
Mistral Medium: 28.1 (#245), Qwen3 14B: 38.6 (#133)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 66.4% |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3 14B leads
Mistral Medium: 25.0 (#265), Qwen3 14B: 39.3 (#134)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 59.5% | 63.8% |
| Vectara Hallucination Rate | 22.7% | 5.4% |
| Humanity's Last Exam | 4.5% | — |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen3 14B: —
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), Qwen3 14B: —
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.7 (#116), Qwen3 14B: —
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), Qwen3 14B: 38.1 (#204)
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
Mistral Medium: 60.0 (#103), Qwen3 14B: —
| Benchmark | Mistral Medium | Qwen3 14B |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen3 14B?
Mistral Medium and Qwen3 14B score almost the same on the Noometry Index (36.3 vs 35.5), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Medium or Qwen3 14B?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 131K.
How many benchmarks do Mistral Medium and Qwen3 14B share?
9 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3 14B has 12.