Model comparison
Qwen1.5-72B vs Qwen1.5-7B
Qwen1.5-72B and Qwen1.5-7B score almost the same on the Noometry Index (30.8 vs 31.4), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Qwen1.5-72B scores higher in 6 categories and Qwen1.5-7B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.7 to 11.5.
Side by side
| Qwen1.5-72B | Qwen1.5-7B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 30.8 | 31.4 |
| Released | 2024-02-04 | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 13 |
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Category by category
Coding Too close to call
Qwen1.5-72B: 31.9 (#277), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1165 | 1107 |
| BigCodeBench Instruct | 33.2% | — |
| BigCodeBench Complete | 40.3% | — |
| HumanEval+ | 59.1% | — |
| MBPP+ | 61.6% | — |
Reasoning Qwen1.5-72B leads
Qwen1.5-72B: 22.2 (#203), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1148 | 1065 |
Math Qwen1.5-72B leads
Qwen1.5-72B: 33.2 (#205), Qwen1.5-7B: 31.4 (#224)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1164 | 1080 |
Knowledge Qwen1.5-7B leads
Qwen1.5-72B: 11.5 (#300), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1136 | 1055 |
| GPQA Diamond | 28.8% | — |
| MMLU | — | 62.6% |
Multilingual Qwen1.5-72B leads
Qwen1.5-72B: 33.2 (#253), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1135 | 1058 |
| LMArena Chinese | 1186 | 1141 |
| LMArena Russian | 1104 | 1006 |
| LMArena French | 1159 | — |
| LMArena German | 1084 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1050 | — |
| LMArena Spanish | 1110 | — |
Instruction Following Qwen1.5-72B leads
Qwen1.5-72B: 59.3 (#256), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1141 | 1058 |
Long Context Qwen1.5-72B leads
Qwen1.5-72B: 35.1 (#243), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1157 | 1090 |
Writing & Preference Qwen1.5-72B leads
Qwen1.5-72B: 37.3 (#258), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Qwen1.5-72B | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1166 | 1083 |
| LMArena Creative Writing | 1137 | 1035 |
| LMArena Multi-Turn | 1160 | 1062 |
Frequently asked questions
Is Qwen1.5-72B better than Qwen1.5-7B?
Qwen1.5-72B and Qwen1.5-7B score almost the same on the Noometry Index (30.8 vs 31.4), so choose on price, context window or the category you care about most.
Is Qwen1.5-72B or Qwen1.5-7B better for coding?
They score almost the same on coding (31.9 vs 32.2); test both on your own repository before choosing.
How many benchmarks do Qwen1.5-72B and Qwen1.5-7B share?
12 benchmarks have published results for both models. Qwen1.5-72B has 22 scored results on Noometry and Qwen1.5-7B has 13.