Model comparison
Mistral vs Qwen2.5 14B Instruct
Mistral has enough public results to be ranked (#303); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.7 to 33.8.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 38.7 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 22 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 14B Instruct leads
Mistral: 33.8 (#250), Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1162 | — |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Mistral: 22.2 (#200), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1149 | — |
Math Not comparable
Mistral: 22.3 (#278), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
Knowledge Not comparable
Mistral: 16.6 (#288), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
| MMLU | — | 79.9% |
Multilingual Not comparable
Mistral: 32.8 (#254), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#245), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), Qwen2.5 14B Instruct: —
| Benchmark | Mistral | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen2.5 14B Instruct?
Mistral has enough public results to be ranked (#303); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Is Mistral or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5 14B Instruct has 3.