Model comparison
Codestral vs Qwen2.5 14B Instruct
Codestral has enough public results to be ranked (#290); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and Qwen2.5 14B Instruct in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.7 to 27.3.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.35 / $1.40 for Qwen2.5 14B Instruct.
- Codestral accepts more context: 256K tokens versus 131K.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Codestral | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 38.7 |
| Released | 2024-05-29 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 256K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.30 | $0.35 |
| Output $ / M tokens | $0.90 | $1.40 |
| Results tracked | 7 | 3 |
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Category by category
Coding Qwen2.5 14B Instruct leads
Codestral: 27.3 (#321), Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Codestral | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | 41.8% | 39.8% |
| BigCodeBench Complete | 52.5% | 52.2% |
| Aider Polyglot | 11.1% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Not comparable
Codestral: 19.8 (#251), Qwen2.5 14B Instruct: —
| Benchmark | Codestral | Qwen2.5 14B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
Knowledge Not comparable
Codestral: —, Qwen2.5 14B Instruct: —
| Benchmark | Codestral | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | — | 79.9% |
Frequently asked questions
Is Codestral better than Qwen2.5 14B Instruct?
Codestral has enough public results to be ranked (#290); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Codestral or Qwen2.5 14B Instruct?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Qwen2.5 14B Instruct lists at $0.35 and $1.40.
Is Codestral or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Codestral does, with 256K tokens against 131K.
How many benchmarks do Codestral and Qwen2.5 14B Instruct share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen2.5 14B Instruct has 3.