Model comparison
Codestral vs Qwen-14B
Codestral and Qwen-14B score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen-14B leads 31.2 to 27.3.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Qwen-14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 31.4 |
| Released | 2024-05-29 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 18 |
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Category by category
Coding Qwen-14B leads
Codestral: 27.3 (#321), Qwen-14B: 31.2 (#288)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1071 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Too close to call
Codestral: 19.8 (#251), Qwen-14B: 19.6 (#257)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1027 |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Not comparable
Codestral: —, Qwen-14B: 31.2 (#227)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| LMArena Math | — | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Codestral: —, Qwen-14B: —
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual Not comparable
Codestral: —, Qwen-14B: 27.5 (#275)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| LMArena Non-English | — | 1041 |
| LMArena Chinese | — | 1077 |
Instruction Following Not comparable
Codestral: —, Qwen-14B: 52.4 (#289)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
Codestral: —, Qwen-14B: 31.3 (#280)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| LMArena Longer Query | — | 1028 |
Writing & Preference Not comparable
Codestral: —, Qwen-14B: 27.6 (#299)
| Benchmark | Codestral | Qwen-14B |
|---|---|---|
| LMArena Text | — | 1051 |
| LMArena Creative Writing | — | 1028 |
| LMArena Multi-Turn | — | 1022 |
Frequently asked questions
Is Codestral better than Qwen-14B?
Codestral and Qwen-14B score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.
Is Codestral or Qwen-14B better for coding?
Qwen-14B scores higher on coding benchmarks: 31.2 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Qwen-14B share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen-14B has 18.