Model comparison
Qwen1.5-32B vs Yi-Large
Qwen1.5-32B has enough public results to be ranked (#293); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Qwen1.5-32B 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 31.7.
- The biggest single-benchmark swing is BigCodeBench Instruct: 32.3% for Qwen1.5-32B and 37.7% for Yi-Large.
- Qwen1.5-32B has downloadable open weights; the other is API-only.
Side by side
| Qwen1.5-32B | Yi-Large | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 30.5 | 38.1 |
| Released | 2024-02-04 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 3 |
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Category by category
Coding Yi-Large leads
Qwen1.5-32B: 31.7 (#282), Yi-Large: 36.7 (#203)
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 32.3% | 37.7% |
| BigCodeBench Complete | 42% | 47.2% |
| LMArena Coding | 1155 | — |
Reasoning Not comparable
Qwen1.5-32B: 21.8 (#212), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Hard Prompts | 1130 | — |
Math Not comparable
Qwen1.5-32B: 33.0 (#207), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Math | 1155 | — |
Knowledge Not comparable
Qwen1.5-32B: 13.5 (#296), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| MMLU | 74.4% | 79.3% |
| GPQA Diamond | 30.7% | — |
| LMArena Expert | 1126 | — |
Multilingual Not comparable
Qwen1.5-32B: 31.4 (#259), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1106 | — |
| LMArena Chinese | 1177 | — |
| LMArena French | 1101 | — |
| LMArena German | 1058 | — |
| LMArena Japanese | 1027 | — |
| LMArena Korean | 1008 | — |
| LMArena Russian | 1073 | — |
| LMArena Spanish | 1089 | — |
Instruction Following Not comparable
Qwen1.5-32B: 57.7 (#265), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1116 | — |
Long Context Not comparable
Qwen1.5-32B: 34.7 (#246), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1146 | — |
Writing & Preference Not comparable
Qwen1.5-32B: 34.2 (#271), Yi-Large: —
| Benchmark | Qwen1.5-32B | Yi-Large |
|---|---|---|
| LMArena Text | 1137 | — |
| LMArena Creative Writing | 1083 | — |
| LMArena Multi-Turn | 1140 | — |
Frequently asked questions
Is Qwen1.5-32B better than Yi-Large?
Qwen1.5-32B has enough public results to be ranked (#293); Yi-Large does not yet, so treat this comparison as directional.
Is Qwen1.5-32B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 31.7 in the Noometry coding category.
How many benchmarks do Qwen1.5-32B and Yi-Large share?
3 benchmarks have published results for both models. Qwen1.5-32B has 21 scored results on Noometry and Yi-Large has 3.