Model comparison
Codestral vs Yi-Large
Codestral has enough public results to be ranked (#290); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 27.3.
- The biggest single-benchmark swing is BigCodeBench Complete: 52.5% for Codestral and 47.2% for Yi-Large.
Side by side
| Codestral | Yi-Large | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 30.6 | 38.1 |
| Released | 2024-05-29 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 3 |
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Category by category
Coding Yi-Large leads
Codestral: 27.3 (#321), Yi-Large: 36.7 (#203)
| Benchmark | Codestral | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 41.8% | 37.7% |
| BigCodeBench Complete | 52.5% | 47.2% |
| Aider Polyglot | 11.1% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Not comparable
Codestral: 19.8 (#251), Yi-Large: —
| Benchmark | Codestral | Yi-Large |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
Knowledge Not comparable
Codestral: —, Yi-Large: —
| Benchmark | Codestral | Yi-Large |
|---|---|---|
| MMLU | — | 79.3% |
Frequently asked questions
Is Codestral better than Yi-Large?
Codestral has enough public results to be ranked (#290); Yi-Large does not yet, so treat this comparison as directional.
Is Codestral or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Yi-Large share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Yi-Large has 3.