Model comparison
Qwen-14B vs Yi-34B
Qwen-14B is the stronger model overall, scoring 31.4 to 27.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Qwen-14B scores higher in 1 category and Yi-34B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen-14B leads 31.2 to 21.6.
Side by side
| Qwen-14B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 31.4 | 27.8 |
| Released | 2023-09-24 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 18 | 23 |
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Category by category
Coding Yi-34B leads
Qwen-14B: 31.2 (#288), Yi-34B: 32.3 (#274)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Coding | 1071 | 1112 |
Reasoning Yi-34B leads
Qwen-14B: 19.6 (#257), Yi-34B: 21.2 (#226)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1027 | 1104 |
| BIG-Bench Hard | 55% | 71.7% |
| Epoch Capabilities Index | 113.03 | 117.39 |
| LAMBADA | 71.1% | — |
| PIQA | 79.9% | — |
Math Qwen-14B leads
Qwen-14B: 31.2 (#227), Yi-34B: 21.6 (#282)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Math | 1068 | 1114 |
| GSM8K | 61.3% | 76% |
| MATH Level 5 | — | 5.1% |
Knowledge Not comparable
Qwen-14B: —, Yi-34B: 7.5 (#309)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| MMLU | 66.3% | 76.3% |
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| ARC (AI2) Challenge | 84.4% | — |
| BoolQ | 86.2% | — |
Multilingual Yi-34B leads
Qwen-14B: 27.5 (#275), Yi-34B: 29.7 (#264)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1041 | 1079 |
| LMArena Chinese | 1077 | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Qwen-14B: 52.4 (#289), Yi-34B: 56.2 (#274)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1091 |
Long Context Yi-34B leads
Qwen-14B: 31.3 (#280), Yi-34B: 33.2 (#264)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1028 | 1094 |
Writing & Preference Yi-34B leads
Qwen-14B: 27.6 (#299), Yi-34B: 34.1 (#273)
| Benchmark | Qwen-14B | Yi-34B |
|---|---|---|
| LMArena Text | 1051 | 1129 |
| LMArena Creative Writing | 1028 | 1108 |
| LMArena Multi-Turn | 1022 | 1113 |
Frequently asked questions
Is Qwen-14B better than Yi-34B?
Qwen-14B is the stronger model overall, scoring 31.4 to 27.8 on the Noometry Index.
Is Qwen-14B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 31.2 in the Noometry coding category.
How many benchmarks do Qwen-14B and Yi-34B share?
14 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Yi-34B has 23.