Model comparison
Claude 3 Haiku vs Qwen1.5-72B
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 25.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Claude 3 Haiku scores higher in 4 categories and Qwen1.5-72B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-72B leads 33.2 to 9.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 50.1% for Claude 3 Haiku and 40.3% for Qwen1.5-72B.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Haiku | Qwen1.5-72B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 25.9 | 30.8 |
| Released | 2024-03-07 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 37 | 22 |
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Category by category
Coding Qwen1.5-72B leads
Claude 3 Haiku: 26.4 (#325), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| BigCodeBench Instruct | 39.4% | 33.2% |
| LMArena Coding | 1199 | 1165 |
| BigCodeBench Complete | 50.1% | 40.3% |
| HumanEval+ | 68.9% | 59.1% |
| MBPP+ | 68.8% | 61.6% |
| WeirdML | 9.8% | — |
| CadEval | 12% | — |
Reasoning Qwen1.5-72B leads
Claude 3 Haiku: 16.3 (#307), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1148 |
| Kagi LLM Benchmark | 34.2% | — |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| Epoch Capabilities Index | 118.35 | — |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math Qwen1.5-72B leads
Claude 3 Haiku: 9.8 (#319), Qwen1.5-72B: 33.2 (#205)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1188 | 1164 |
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| MATH Level 5 | 14.9% | — |
Knowledge Claude 3 Haiku leads
Claude 3 Haiku: 17.3 (#285), Qwen1.5-72B: 11.5 (#300)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | 36.3% | 28.8% |
| LMArena Expert | 1148 | 1136 |
| Confabulations | 34.2% | — |
| MMLU | 73.8% | — |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), Qwen1.5-72B: —
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual Claude 3 Haiku leads
Claude 3 Haiku: 36.0 (#243), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1178 | 1135 |
| LMArena Chinese | 1155 | 1186 |
| LMArena French | 1195 | 1159 |
| LMArena German | 1174 | 1084 |
| LMArena Japanese | 1102 | 1061 |
| LMArena Korean | 1109 | 1050 |
| LMArena Russian | 1204 | 1104 |
| LMArena Spanish | 1166 | 1110 |
Instruction Following Claude 3 Haiku leads
Claude 3 Haiku: 61.3 (#247), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1173 | 1141 |
Long Context Claude 3 Haiku leads
Claude 3 Haiku: 36.1 (#237), Qwen1.5-72B: 35.1 (#243)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1190 | 1157 |
Writing & Preference Qwen1.5-72B leads
Claude 3 Haiku: 29.7 (#291), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Claude 3 Haiku | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1195 | 1166 |
| LMArena Creative Writing | 1157 | 1137 |
| LMArena Multi-Turn | 1190 | 1160 |
| EQ-Bench Creative Writing | 717 | — |
Frequently asked questions
Is Claude 3 Haiku better than Qwen1.5-72B?
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or Qwen1.5-72B better for coding?
Qwen1.5-72B scores higher on coding benchmarks: 31.9 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and Qwen1.5-72B share?
22 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Qwen1.5-72B has 22.