Model comparison
Qwen2.5 32B Instruct vs Yi-34B
Qwen2.5 32B Instruct is the stronger model overall, scoring 30.1 to 27.8 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Qwen2.5 32B Instruct scores higher in 2 categories and Yi-34B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 32B Instruct leads 24.9 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 56.1% for Qwen2.5 32B Instruct and 5.1% for Yi-34B.
Side by side
| Qwen2.5 32B Instruct | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 30.1 | 27.8 |
| Released | 2024-09 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $2.80 | — |
| Results tracked | 7 | 23 |
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Category by category
Coding Qwen2.5 32B Instruct leads
Qwen2.5 32B Instruct: 38.7 (#169), Yi-34B: 32.3 (#274)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| BigCodeBench Instruct | 45% | — |
| LMArena Coding | — | 1112 |
| BigCodeBench Complete | 52.3% | — |
Reasoning Yi-34B leads
Qwen2.5 32B Instruct: 19.2 (#266), Yi-34B: 21.2 (#226)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 128.52 | 117.39 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1104 |
| BIG-Bench Hard | — | 71.7% |
Math Yi-34B leads
Qwen2.5 32B Instruct: 16.2 (#296), Yi-34B: 21.6 (#282)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| MATH Level 5 | 56.1% | 5.1% |
| OTIS Mock AIME 2024-2025 | 7.4% | — |
| LMArena Math | — | 1114 |
| GSM8K | — | 76% |
Knowledge Qwen2.5 32B Instruct leads
Qwen2.5 32B Instruct: 24.9 (#266), Yi-34B: 7.5 (#309)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| GPQA Diamond | 46.1% | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
Qwen2.5 32B Instruct: —, Yi-34B: 29.7 (#264)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
Qwen2.5 32B Instruct: —, Yi-34B: 56.2 (#274)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Qwen2.5 32B Instruct: —, Yi-34B: 33.2 (#264)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
Qwen2.5 32B Instruct: —, Yi-34B: 34.1 (#273)
| Benchmark | Qwen2.5 32B Instruct | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Qwen2.5 32B Instruct better than Yi-34B?
Qwen2.5 32B Instruct is the stronger model overall, scoring 30.1 to 27.8 on the Noometry Index.
Is Qwen2.5 32B Instruct or Yi-34B better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 32.3 in the Noometry coding category.
How many benchmarks do Qwen2.5 32B Instruct and Yi-34B share?
3 benchmarks have published results for both models. Qwen2.5 32B Instruct has 7 scored results on Noometry and Yi-34B has 23.