Model comparison
Qwen1.5-7B vs Yi-34B
Qwen1.5-7B is the stronger model overall, scoring 30.8 to 27.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Qwen1.5-7B scores higher in 2 categories and Yi-34B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.2 to 7.5.
Side by side
| Qwen1.5-7B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 30.8 | 27.4 |
| Released | 2024-02-04 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 23 |
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Category by category
Coding Too close to call
Qwen1.5-7B: 31.6 (#271), Yi-34B: 31.8 (#269)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Coding | 1107 | 1112 |
Reasoning Too close to call
Qwen1.5-7B: 19.5 (#237), Yi-34B: 20.3 (#222)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1066 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.28 |
Math Qwen1.5-7B leads
Qwen1.5-7B: 29.0 (#222), Yi-34B: 19.8 (#277)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Math | 1080 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen1.5-7B leads
Qwen1.5-7B: 28.2 (#239), Yi-34B: 7.5 (#304)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Expert | 1055 | 1061 |
| MMLU | 62.6% | 76.3% |
| GPQA Diamond | — | 14.7% |
Multilingual Yi-34B leads
Qwen1.5-7B: 28.6 (#266), Yi-34B: 29.9 (#259)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1058 | 1079 |
| LMArena Chinese | 1140 | 1175 |
| LMArena Russian | 1006 | 1050 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Qwen1.5-7B: 54.4 (#276), Yi-34B: 56.4 (#269)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1058 | 1091 |
Long Context Too close to call
Qwen1.5-7B: 33.1 (#261), Yi-34B: 33.2 (#259)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1090 | 1094 |
Writing & Preference Yi-34B leads
Qwen1.5-7B: 29.8 (#288), Yi-34B: 34.3 (#268)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Text | 1084 | 1129 |
| LMArena Creative Writing | 1035 | 1108 |
| LMArena Multi-Turn | 1061 | 1113 |
Frequently asked questions
Is Qwen1.5-7B better than Yi-34B?
Qwen1.5-7B is the stronger model overall, scoring 30.8 to 27.4 on the Noometry Index.
Is Qwen1.5-7B or Yi-34B better for coding?
They score almost the same on coding (31.6 vs 31.8); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-7B and Yi-34B share?
13 benchmarks have published results for both models. Qwen1.5-7B has 13 scored results on Noometry and Yi-34B has 23.