Model comparison
Qwen1.5 4b Chat vs Qwen2-72B
Qwen2-72B is the stronger model overall, scoring 30.0 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Qwen1.5 4b Chat scores higher in 3 categories and Qwen2-72B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2-72B leads 40.8 to 23.8.
Side by side
| Qwen1.5 4b Chat | Qwen2-72B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.8 | 30.0 |
| Released | — | 2024-06-07 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 26 |
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Category by category
Coding Too close to call
Qwen1.5 4b Chat: 29.1 (#308), Qwen2-72B: 29.1 (#310)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Coding | 999 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Qwen1.5 4b Chat: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Qwen1.5 4b Chat: 18.5 (#279), Qwen2-72B: 23.2 (#181)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 976 | 1191 |
| Epoch Capabilities Index | — | 125.28 |
Math Too close to call
Qwen1.5 4b Chat: 30.4 (#234), Qwen2-72B: 30.2 (#236)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Math | 1026 | 1235 |
| MATH Level 5 | — | 39.1% |
Knowledge Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 26.7 (#255), Qwen2-72B: 21.2 (#275)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Expert | 980 | 1171 |
| GPQA Diamond | — | 40.8% |
| MMLU | — | 82.4% |
Multilingual Qwen2-72B leads
Qwen1.5 4b Chat: 24.1 (#290), Qwen2-72B: 35.9 (#244)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 979 | 1176 |
| LMArena Chinese | 1024 | 1240 |
| LMArena German | 902 | 1151 |
| LMArena Russian | 952 | 1169 |
| LMArena French | — | 1170 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Spanish | — | 1169 |
Instruction Following Qwen2-72B leads
Qwen1.5 4b Chat: 49.0 (#300), Qwen2-72B: 61.7 (#241)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 978 | 1181 |
Long Context Qwen2-72B leads
Qwen1.5 4b Chat: 30.1 (#290), Qwen2-72B: 36.1 (#235)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 988 | 1192 |
Writing & Preference Qwen2-72B leads
Qwen1.5 4b Chat: 23.8 (#309), Qwen2-72B: 40.8 (#241)
| Benchmark | Qwen1.5 4b Chat | Qwen2-72B |
|---|---|---|
| LMArena Text | 997 | 1203 |
| LMArena Creative Writing | 969 | 1181 |
| LMArena Multi-Turn | 977 | 1196 |
Frequently asked questions
Is Qwen1.5 4b Chat better than Qwen2-72B?
Qwen2-72B is the stronger model overall, scoring 30.0 to 28.8 on the Noometry Index.
Is Qwen1.5 4b Chat or Qwen2-72B better for coding?
They score almost the same on coding (29.1 vs 29.1); test both on your own repository before choosing.
How many benchmarks do Qwen1.5 4b Chat and Qwen2-72B share?
13 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Qwen2-72B has 26.