Model comparison
Qwen2.5-Max vs Yi-34B
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 27.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Qwen2.5-Max scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5-Max leads 35.3 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5-Max | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 40.7 | 27.8 |
| Released | 2025-01-25 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 23 |
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Category by category
Coding Qwen2.5-Max leads
Qwen2.5-Max: 41.8 (#117), Yi-34B: 32.3 (#274)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Coding | 1359 | 1112 |
| LiveBench Coding | 64.4% | — |
Reasoning Qwen2.5-Max leads
Qwen2.5-Max: 25.6 (#147), Yi-34B: 21.2 (#226)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1360 | 1104 |
| Epoch Capabilities Index | 132.53 | 117.39 |
| LiveBench Reasoning | 51.4% | — |
| LiveBench Data Analysis | 67.9% | — |
| BIG-Bench Hard | — | 71.7% |
| LiveBench | 62.3% | — |
Math Qwen2.5-Max leads
Qwen2.5-Max: 36.9 (#162), Yi-34B: 21.6 (#282)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Math | 1369 | 1114 |
| LiveBench Math | 58.4% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen2.5-Max leads
Qwen2.5-Max: 35.3 (#186), Yi-34B: 7.5 (#309)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Expert | 1337 | 1061 |
| GPQA Diamond | — | 14.7% |
| Confabulations | 21.8% | — |
| MMLU | — | 76.3% |
Multilingual Qwen2.5-Max leads
Qwen2.5-Max: 48.1 (#146), Yi-34B: 29.7 (#264)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Non-English | 1352 | 1079 |
| LMArena Chinese | 1382 | 1176 |
| LMArena French | 1396 | 1081 |
| LMArena German | 1350 | 1042 |
| LMArena Japanese | 1300 | 993 |
| LMArena Korean | 1304 | 959 |
| LMArena Russian | 1353 | 1050 |
| LMArena Spanish | 1377 | 1070 |
Instruction Following Qwen2.5-Max leads
Qwen2.5-Max: 71.3 (#152), Yi-34B: 56.2 (#274)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1335 | 1091 |
| LiveBench Instruction Following | 75.3% | — |
Long Context Qwen2.5-Max leads
Qwen2.5-Max: 41.4 (#142), Yi-34B: 33.2 (#264)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1358 | 1094 |
Writing & Preference Qwen2.5-Max leads
Qwen2.5-Max: 55.4 (#146), Yi-34B: 34.1 (#273)
| Benchmark | Qwen2.5-Max | Yi-34B |
|---|---|---|
| LMArena Text | 1367 | 1129 |
| LMArena Creative Writing | 1339 | 1108 |
| LMArena Multi-Turn | 1364 | 1113 |
| Short-Story Creative Writing | 72.9% | — |
| LiveBench Language | 56.3% | — |
Frequently asked questions
Is Qwen2.5-Max better than Yi-34B?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 27.8 on the Noometry Index.
Is Qwen2.5-Max or Yi-34B better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 32.3 in the Noometry coding category.
How many benchmarks do Qwen2.5-Max and Yi-34B share?
18 benchmarks have published results for both models. Qwen2.5-Max has 27 scored results on Noometry and Yi-34B has 23.