Model comparison
Qwen1.5-7B vs Yi-1.5-34B
Qwen1.5-7B and Yi-1.5-34B score almost the same on the Noometry Index (30.8 vs 30.2), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Qwen1.5-7B scores higher in 2 categories and Yi-1.5-34B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.2 to 14.8.
Side by side
| Qwen1.5-7B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 30.8 | 30.2 |
| Released | 2024-02-04 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 21 |
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Category by category
Coding Too close to call
Qwen1.5-7B: 31.6 (#271), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1107 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Yi-1.5-34B leads
Qwen1.5-7B: 19.5 (#237), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1066 | 1160 |
Math Qwen1.5-7B leads
Qwen1.5-7B: 29.0 (#222), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1080 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen1.5-7B leads
Qwen1.5-7B: 28.2 (#239), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1055 | 1144 |
| GPQA Diamond | — | 32% |
| MMLU | 62.6% | — |
Multilingual Yi-1.5-34B leads
Qwen1.5-7B: 28.6 (#266), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1058 | 1121 |
| LMArena Chinese | 1140 | 1213 |
| LMArena Russian | 1006 | 1091 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Spanish | — | 1120 |
Instruction Following Yi-1.5-34B leads
Qwen1.5-7B: 54.4 (#276), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1058 | 1139 |
Long Context Yi-1.5-34B leads
Qwen1.5-7B: 33.1 (#261), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1090 | 1144 |
Writing & Preference Yi-1.5-34B leads
Qwen1.5-7B: 29.8 (#288), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Qwen1.5-7B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1084 | 1173 |
| LMArena Creative Writing | 1035 | 1135 |
| LMArena Multi-Turn | 1061 | 1153 |
Frequently asked questions
Is Qwen1.5-7B better than Yi-1.5-34B?
Qwen1.5-7B and Yi-1.5-34B score almost the same on the Noometry Index (30.8 vs 30.2), so choose on price, context window or the category you care about most.
Is Qwen1.5-7B or Yi-1.5-34B better for coding?
They score almost the same on coding (31.6 vs 31.9); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-7B and Yi-1.5-34B share?
12 benchmarks have published results for both models. Qwen1.5-7B has 13 scored results on Noometry and Yi-1.5-34B has 21.