Model comparison
Mistral Medium 3.1 vs Qwen2.5 14B Instruct
Mistral Medium 3.1 has enough public results to be ranked (#260); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.1 | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 38.2 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 131K | 131K |
| Max output | 105K | 8K |
| Input $ / M tokens | $0.40 | $0.35 |
| Output $ / M tokens | $2 | $1.40 |
| Results tracked | 3 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Medium 3.1: —, Qwen2.5 14B Instruct: 37.1 (#187)
| Benchmark | Mistral Medium 3.1 | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Mistral Medium 3.1: 10.1 (#336), Qwen2.5 14B Instruct: —
| Benchmark | Mistral Medium 3.1 | Qwen2.5 14B Instruct |
|---|---|---|
| NYT Connections (extended) | 6.5% | — |
| Thematic Generalization | 20.3% | — |
Knowledge Not comparable
Mistral Medium 3.1: —, Qwen2.5 14B Instruct: —
| Benchmark | Mistral Medium 3.1 | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | — | 79.9% |
Writing & Preference Not comparable
Mistral Medium 3.1: 55.6 (#140), Qwen2.5 14B Instruct: —
| Benchmark | Mistral Medium 3.1 | Qwen2.5 14B Instruct |
|---|---|---|
| EQ-Bench Creative Writing | 1476 | — |
Frequently asked questions
Is Mistral Medium 3.1 better than Qwen2.5 14B Instruct?
Mistral Medium 3.1 has enough public results to be ranked (#260); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Mistral Medium 3.1 or Qwen2.5 14B Instruct?
Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Mistral Medium 3.1 and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen2.5 14B Instruct has 3.