Model comparison
Qwen Max vs Yi-34B
Qwen Max is the stronger model overall, scoring 34.7 to 27.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Qwen Max scores higher in 7 categories and Yi-34B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen Max leads 30.3 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 67.2% for Qwen Max and 5.1% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Qwen Max | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 34.7 | 27.8 |
| Released | 2024-04-03 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 33K | — |
| Max output | 8K | — |
| Input $ / M tokens | $1.60 | — |
| Output $ / M tokens | $6.40 | — |
| Results tracked | 23 | 23 |
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Category by category
Coding Yi-34B leads
Qwen Max: 30.7 (#292), Yi-34B: 32.3 (#274)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Coding | 1288 | 1112 |
| Aider Polyglot | 21.8% | — |
Reasoning Qwen Max leads
Qwen Max: 25.1 (#151), Yi-34B: 21.2 (#226)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Too close to call
Qwen Max: 22.3 (#276), Yi-34B: 21.6 (#282)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Math | 1275 | 1114 |
| MATH Level 5 | 67.2% | 5.1% |
| OTIS Mock AIME 2024-2025 | 16.1% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
| GSM8K | — | 76% |
Knowledge Qwen Max leads
Qwen Max: 30.3 (#228), Yi-34B: 7.5 (#309)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| GPQA Diamond | 56.1% | 14.7% |
| LMArena Expert | 1248 | 1061 |
| MMLU | — | 76.3% |
Multilingual Qwen Max leads
Qwen Max: 41.8 (#202), Yi-34B: 29.7 (#264)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Non-English | 1263 | 1079 |
| LMArena Chinese | 1254 | 1176 |
| LMArena French | 1330 | 1081 |
| LMArena German | 1254 | 1042 |
| LMArena Japanese | 1205 | 993 |
| LMArena Korean | 1142 | 959 |
| LMArena Russian | 1274 | 1050 |
| LMArena Spanish | 1290 | 1070 |
Instruction Following Qwen Max leads
Qwen Max: 66.5 (#208), Yi-34B: 56.2 (#274)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1262 | 1091 |
Long Context Qwen Max leads
Qwen Max: 39.4 (#180), Yi-34B: 33.2 (#264)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1288 | 1094 |
| Fiction.LiveBench | 66.7% | — |
Writing & Preference Qwen Max leads
Qwen Max: 47.8 (#205), Yi-34B: 34.1 (#273)
| Benchmark | Qwen Max | Yi-34B |
|---|---|---|
| LMArena Text | 1282 | 1129 |
| LMArena Creative Writing | 1248 | 1108 |
| LMArena Multi-Turn | 1277 | 1113 |
Frequently asked questions
Is Qwen Max better than Yi-34B?
Qwen Max is the stronger model overall, scoring 34.7 to 27.8 on the Noometry Index.
Is Qwen Max or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 30.7 in the Noometry coding category.
How many benchmarks do Qwen Max and Yi-34B share?
19 benchmarks have published results for both models. Qwen Max has 23 scored results on Noometry and Yi-34B has 23.