Model comparison
Qwen1.5-14B vs Yi-1.5-34B
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 30.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Qwen1.5-14B scores higher in 3 categories and Yi-1.5-34B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-14B leads 29.8 to 14.8.
Side by side
| Qwen1.5-14B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 32.7 | 30.6 |
| Released | 2024-02-04 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 21 |
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Category by category
Coding Too close to call
Qwen1.5-14B: 33.1 (#263), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1138 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Yi-1.5-34B leads
Qwen1.5-14B: 21.4 (#223), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1160 |
Math Qwen1.5-14B leads
Qwen1.5-14B: 32.4 (#215), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1125 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen1.5-14B leads
Qwen1.5-14B: 29.8 (#232), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1094 | 1144 |
| GPQA Diamond | — | 32% |
| MMLU | 68.6% | — |
Multilingual Yi-1.5-34B leads
Qwen1.5-14B: 30.7 (#262), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1095 | 1121 |
| LMArena Chinese | 1147 | 1213 |
| LMArena French | 1116 | 1156 |
| LMArena German | 1043 | 1111 |
| LMArena Japanese | 1019 | 1021 |
| LMArena Russian | 1046 | 1091 |
| LMArena Spanish | 1085 | 1121 |
| LMArena Korean | — | 1005 |
Instruction Following Yi-1.5-34B leads
Qwen1.5-14B: 56.8 (#271), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1102 | 1139 |
Long Context Too close to call
Qwen1.5-14B: 33.7 (#257), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1113 | 1143 |
Writing & Preference Yi-1.5-34B leads
Qwen1.5-14B: 33.6 (#276), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen1.5-14B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1128 | 1173 |
| LMArena Creative Writing | 1091 | 1135 |
| LMArena Multi-Turn | 1110 | 1153 |
Frequently asked questions
Is Qwen1.5-14B better than Yi-1.5-34B?
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 30.6 on the Noometry Index.
Is Qwen1.5-14B or Yi-1.5-34B better for coding?
They score almost the same on coding (33.1 vs 32.4); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-14B and Yi-1.5-34B share?
16 benchmarks have published results for both models. Qwen1.5-14B has 17 scored results on Noometry and Yi-1.5-34B has 21.