Model comparison
Qwen1.5-14B vs Yi-34B
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 27.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen1.5-14B scores higher in 7 categories and Yi-34B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-14B leads 29.8 to 7.5.
Side by side
| Qwen1.5-14B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 32.7 | 27.8 |
| Released | 2024-02-04 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 23 |
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Category by category
Coding Too close to call
Qwen1.5-14B: 33.1 (#263), Yi-34B: 32.3 (#274)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Coding | 1138 | 1112 |
Reasoning Too close to call
Qwen1.5-14B: 21.4 (#223), Yi-34B: 21.2 (#226)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Qwen1.5-14B leads
Qwen1.5-14B: 32.4 (#215), Yi-34B: 21.6 (#282)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Math | 1125 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen1.5-14B leads
Qwen1.5-14B: 29.8 (#232), Yi-34B: 7.5 (#309)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Expert | 1094 | 1061 |
| MMLU | 68.6% | 76.3% |
| GPQA Diamond | — | 14.7% |
Multilingual Too close to call
Qwen1.5-14B: 30.7 (#262), Yi-34B: 29.7 (#264)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1095 | 1079 |
| LMArena Chinese | 1147 | 1176 |
| LMArena French | 1116 | 1081 |
| LMArena German | 1043 | 1042 |
| LMArena Japanese | 1019 | 993 |
| LMArena Russian | 1046 | 1050 |
| LMArena Spanish | 1085 | 1070 |
| LMArena Korean | — | 959 |
Instruction Following Too close to call
Qwen1.5-14B: 56.8 (#271), Yi-34B: 56.2 (#274)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1102 | 1091 |
Long Context Too close to call
Qwen1.5-14B: 33.7 (#257), Yi-34B: 33.2 (#264)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1113 | 1094 |
Writing & Preference Too close to call
Qwen1.5-14B: 33.6 (#276), Yi-34B: 34.1 (#273)
| Benchmark | Qwen1.5-14B | Yi-34B |
|---|---|---|
| LMArena Text | 1128 | 1129 |
| LMArena Creative Writing | 1091 | 1108 |
| LMArena Multi-Turn | 1110 | 1113 |
Frequently asked questions
Is Qwen1.5-14B better than Yi-34B?
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 27.8 on the Noometry Index.
Is Qwen1.5-14B or Yi-34B better for coding?
They score almost the same on coding (33.1 vs 32.3); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-14B and Yi-34B share?
17 benchmarks have published results for both models. Qwen1.5-14B has 17 scored results on Noometry and Yi-34B has 23.