Model comparison
Qwen Max vs Yi-1.5-34B
Qwen Max is the stronger model overall, scoring 34.7 to 30.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Qwen Max scores higher in 6 categories and Yi-1.5-34B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen Max leads 30.3 to 14.8.
- The biggest single-benchmark swing is MATH Level 5: 67.2% for Qwen Max and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Qwen Max | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 34.7 | 30.6 |
| Released | 2024-04-03 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 33K | — |
| Max output | 8K | — |
| Input $ / M tokens | $1.60 | — |
| Output $ / M tokens | $6.40 | — |
| Results tracked | 23 | 21 |
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Category by category
Coding Yi-1.5-34B leads
Qwen Max: 30.7 (#292), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1288 | 1169 |
| Aider Polyglot | 21.8% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Qwen Max leads
Qwen Max: 25.1 (#151), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1160 |
Math Yi-1.5-34B leads
Qwen Max: 22.3 (#276), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1275 | 1182 |
| MATH Level 5 | 67.2% | 25.5% |
| OTIS Mock AIME 2024-2025 | 16.1% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Qwen Max leads
Qwen Max: 30.3 (#228), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 56.1% | 32% |
| LMArena Expert | 1248 | 1144 |
Multilingual Qwen Max leads
Qwen Max: 41.8 (#202), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1263 | 1121 |
| LMArena Chinese | 1254 | 1213 |
| LMArena French | 1330 | 1156 |
| LMArena German | 1254 | 1111 |
| LMArena Japanese | 1205 | 1021 |
| LMArena Korean | 1142 | 1005 |
| LMArena Russian | 1274 | 1091 |
| LMArena Spanish | 1290 | 1121 |
Instruction Following Qwen Max leads
Qwen Max: 66.5 (#208), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1262 | 1139 |
Long Context Qwen Max leads
Qwen Max: 39.4 (#180), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1288 | 1143 |
| Fiction.LiveBench | 66.7% | — |
Writing & Preference Qwen Max leads
Qwen Max: 47.8 (#205), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen Max | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1282 | 1173 |
| LMArena Creative Writing | 1248 | 1135 |
| LMArena Multi-Turn | 1277 | 1153 |
Frequently asked questions
Is Qwen Max better than Yi-1.5-34B?
Qwen Max is the stronger model overall, scoring 34.7 to 30.6 on the Noometry Index.
Is Qwen Max or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 30.7 in the Noometry coding category.
How many benchmarks do Qwen Max and Yi-1.5-34B share?
19 benchmarks have published results for both models. Qwen Max has 23 scored results on Noometry and Yi-1.5-34B has 21.