Model comparison
Qwen2.5-Coder-32B vs Yi-34B
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 27.8 on the Noometry Index.
Last verified . 15 shared benchmarks.
Alibaba (Qwen)Summary
- They share 15 benchmarks with published results for both. Qwen2.5-Coder-32B 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 Qwen2.5-Coder-32B leads 33.4 to 7.5.
Side by side
| Qwen2.5-Coder-32B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 33.4 | 27.8 |
| Released | 2024-09-18 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 33K | — |
| Max output | 29K | — |
| Input $ / M tokens | $0.66 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 31 | 23 |
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Category by category
Coding Yi-34B leads
Qwen2.5-Coder-32B: 22.6 (#333), Yi-34B: 32.3 (#274)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Coding | 1276 | 1112 |
| SWE-bench Verified (bash only) | 9% | — |
| Aider Polyglot | 16.4% | — |
| BigCodeBench Instruct | 49% | — |
| LiveBench Coding | 56.9% | — |
| BigCodeBench Complete | 58% | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 77% | — |
Reasoning Too close to call
Qwen2.5-Coder-32B: 21.2 (#225), Yi-34B: 21.2 (#226)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1104 |
| Epoch Capabilities Index | 119.49 | 117.39 |
| LiveBench Reasoning | 42.1% | — |
| LiveBench Data Analysis | 49.9% | — |
| BIG-Bench Hard | — | 71.7% |
| HellaSwag | 83% | — |
| LiveBench | 46.2% | — |
| WinoGrande | 80.8% | — |
Math Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 33.3 (#204), Yi-34B: 21.6 (#282)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Math | 1251 | 1114 |
| GSM8K | 93% | 76% |
| LiveBench Math | 46.6% | — |
| MATH Level 5 | — | 5.1% |
Knowledge Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 33.4 (#203), Yi-34B: 7.5 (#309)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Expert | 1221 | 1061 |
| MMLU | 79.1% | 76.3% |
| GPQA Diamond | — | 14.7% |
| ARC (AI2) Challenge | 70.5% | — |
Multilingual Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 37.8 (#235), Yi-34B: 29.7 (#264)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1205 | 1079 |
| LMArena Chinese | 1222 | 1176 |
| LMArena Russian | 1228 | 1050 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 61.4 (#245), Yi-34B: 56.2 (#274)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1223 | 1091 |
| LiveBench Instruction Following | 58.7% | — |
Long Context Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 38.0 (#208), Yi-34B: 33.2 (#264)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1251 | 1094 |
Writing & Preference Qwen2.5-Coder-32B leads
Qwen2.5-Coder-32B: 41.6 (#240), Yi-34B: 34.1 (#273)
| Benchmark | Qwen2.5-Coder-32B | Yi-34B |
|---|---|---|
| LMArena Text | 1230 | 1129 |
| LMArena Creative Writing | 1174 | 1108 |
| LMArena Multi-Turn | 1222 | 1113 |
| LiveBench Language | 23.3% | — |
Frequently asked questions
Is Qwen2.5-Coder-32B better than Yi-34B?
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 27.8 on the Noometry Index.
Is Qwen2.5-Coder-32B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 22.6 in the Noometry coding category.
How many benchmarks do Qwen2.5-Coder-32B and Yi-34B share?
15 benchmarks have published results for both models. Qwen2.5-Coder-32B has 31 scored results on Noometry and Yi-34B has 23.