Model comparison
Codestral vs Yi-1.5-34B
Codestral and Yi-1.5-34B score almost the same on the Noometry Index (30.6 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and Yi-1.5-34B in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Yi-1.5-34B leads 32.4 to 27.3.
- The biggest single-benchmark swing is BigCodeBench Complete: 52.5% for Codestral and 43.8% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Yi-1.5-34B | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 30.6 | 30.6 |
| Released | 2024-05-29 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 21 |
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Category by category
Coding Yi-1.5-34B leads
Codestral: 27.3 (#321), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 41.8% | 33.9% |
| BigCodeBench Complete | 52.5% | 43.8% |
| Aider Polyglot | 11.1% | — |
| LMArena Coding | — | 1169 |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Yi-1.5-34B leads
Codestral: 19.8 (#251), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1160 |
Math Not comparable
Codestral: —, Yi-1.5-34B: 27.5 (#249)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Not comparable
Codestral: —, Yi-1.5-34B: 14.8 (#295)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
Codestral: —, Yi-1.5-34B: 32.3 (#256)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following Not comparable
Codestral: —, Yi-1.5-34B: 59.2 (#257)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
Codestral: —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference Not comparable
Codestral: —, Yi-1.5-34B: 37.4 (#257)
| Benchmark | Codestral | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is Codestral better than Yi-1.5-34B?
Codestral and Yi-1.5-34B score almost the same on the Noometry Index (30.6 vs 30.6), so choose on price, context window or the category you care about most.
Is Codestral or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Yi-1.5-34B share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Yi-1.5-34B has 21.