Model comparison
Qwen1.5-72B vs Yi-1.5-34B
Qwen1.5-72B and Yi-1.5-34B score almost the same on the Noometry Index (30.8 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Qwen1.5-72B scores higher in 4 categories and Yi-1.5-34B in 4 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-72B leads 33.2 to 27.5.
Side by side
| Qwen1.5-72B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 30.8 | 30.6 |
| Released | 2024-02-04 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 21 |
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Category by category
Coding Too close to call
Qwen1.5-72B: 31.9 (#277), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 33.2% | 33.9% |
| LMArena Coding | 1165 | 1169 |
| BigCodeBench Complete | 40.3% | 43.8% |
| HumanEval+ | 59.1% | — |
| MBPP+ | 61.6% | — |
Reasoning Too close to call
Qwen1.5-72B: 22.2 (#203), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1148 | 1160 |
Math Qwen1.5-72B leads
Qwen1.5-72B: 33.2 (#205), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1164 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Yi-1.5-34B leads
Qwen1.5-72B: 11.5 (#300), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 28.8% | 32% |
| LMArena Expert | 1136 | 1144 |
Multilingual Too close to call
Qwen1.5-72B: 33.2 (#253), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1135 | 1121 |
| LMArena Chinese | 1186 | 1213 |
| LMArena French | 1159 | 1156 |
| LMArena German | 1084 | 1111 |
| LMArena Japanese | 1061 | 1021 |
| LMArena Korean | 1050 | 1005 |
| LMArena Russian | 1104 | 1091 |
| LMArena Spanish | 1110 | 1121 |
Instruction Following Too close to call
Qwen1.5-72B: 59.3 (#256), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1141 | 1139 |
Long Context Too close to call
Qwen1.5-72B: 35.1 (#243), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1157 | 1143 |
Writing & Preference Too close to call
Qwen1.5-72B: 37.3 (#258), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen1.5-72B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1166 | 1173 |
| LMArena Creative Writing | 1137 | 1135 |
| LMArena Multi-Turn | 1160 | 1153 |
Frequently asked questions
Is Qwen1.5-72B better than Yi-1.5-34B?
Qwen1.5-72B and Yi-1.5-34B score almost the same on the Noometry Index (30.8 vs 30.6), so choose on price, context window or the category you care about most.
Is Qwen1.5-72B or Yi-1.5-34B better for coding?
They score almost the same on coding (31.9 vs 32.4); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-72B and Yi-1.5-34B share?
20 benchmarks have published results for both models. Qwen1.5-72B has 22 scored results on Noometry and Yi-1.5-34B has 21.