Model comparison
Pixtral Large vs Qwen2.5 14B Instruct
Pixtral Large has enough public results to be ranked (#259); 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 $2 / $6 for Pixtral Large.
- Qwen2.5 14B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Pixtral Large | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 38.7 |
| Released | 2024-11-01 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $2 | $0.35 |
| Output $ / M tokens | $6 | $1.40 |
| Results tracked | 3 | 3 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Pixtral Large | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Pixtral Large: 21.7 (#218), Qwen2.5 14B Instruct: —
| Benchmark | Pixtral Large | Qwen2.5 14B Instruct |
|---|---|---|
| EnigmaEval | 0.8% | — |
Knowledge Not comparable
Pixtral Large: —, Qwen2.5 14B Instruct: —
| Benchmark | Pixtral Large | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | — | 79.9% |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen2.5 14B Instruct: —
| Benchmark | Pixtral Large | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Vision | 1089 | — |
Writing & Preference Not comparable
Pixtral Large: 32.9 (#278), Qwen2.5 14B Instruct: —
| Benchmark | Pixtral Large | Qwen2.5 14B Instruct |
|---|---|---|
| EQ-Bench Creative Writing | 988 | — |
Frequently asked questions
Is Pixtral Large better than Qwen2.5 14B Instruct?
Pixtral Large has enough public results to be ranked (#259); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Pixtral Large 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; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen2.5 14B Instruct does, with 131K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen2.5 14B Instruct has 3.