Model comparison
Qwen1.5-7B vs Yi-34B
Qwen1.5-7B is the stronger model overall, scoring 31.4 to 27.8 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 28.7 to 7.5.
Side by side
| Qwen1.5-7B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 31.4 | 27.8 |
| Released | 2024-02-04 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Qwen1.5-7B: 32.2 (#276), Yi-34B: 32.3 (#274)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Coding | 1107 | 1112 |
Reasoning Too close to call
Qwen1.5-7B: 20.4 (#240), Yi-34B: 21.2 (#226)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1065 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Qwen1.5-7B leads
Qwen1.5-7B: 31.4 (#224), Yi-34B: 21.6 (#282)
| 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: 28.7 (#243), Yi-34B: 7.5 (#309)
| 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: 28.5 (#271), Yi-34B: 29.7 (#264)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1058 | 1079 |
| LMArena Chinese | 1141 | 1176 |
| LMArena Russian | 1006 | 1050 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Qwen1.5-7B: 54.1 (#281), Yi-34B: 56.2 (#274)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1058 | 1091 |
Long Context Too close to call
Qwen1.5-7B: 33.1 (#266), Yi-34B: 33.2 (#264)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1090 | 1094 |
Writing & Preference Yi-34B leads
Qwen1.5-7B: 29.6 (#293), Yi-34B: 34.1 (#273)
| Benchmark | Qwen1.5-7B | Yi-34B |
|---|---|---|
| LMArena Text | 1083 | 1129 |
| LMArena Creative Writing | 1035 | 1108 |
| LMArena Multi-Turn | 1062 | 1113 |
Frequently asked questions
Is Qwen1.5-7B better than Yi-34B?
Qwen1.5-7B is the stronger model overall, scoring 31.4 to 27.8 on the Noometry Index.
Is Qwen1.5-7B or Yi-34B better for coding?
They score almost the same on coding (32.2 vs 32.3); 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.