Model comparison
INTELLECT-1 vs Qwen1.5-72B
Qwen1.5-72B has enough public results to be ranked (#285); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Hugging Face
Alibaba (Qwen)Summary
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Qwen1.5-72B | |
|---|---|---|
| Provider | Hugging Face | Alibaba (Qwen) |
| Noometry Index | — | 30.8 |
| Released | 2024-11-29 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 22 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Qwen1.5-72B: 31.9 (#277)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| BigCodeBench Instruct | — | 33.2% |
| LMArena Coding | — | 1165 |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Reasoning Not comparable
INTELLECT-1: —, Qwen1.5-72B: 22.2 (#203)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | — | 1148 |
| BIG-Bench Hard | 34.9% | — |
| Epoch Capabilities Index | 100.86 | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Qwen1.5-72B: 33.2 (#205)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Math | — | 1164 |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Qwen1.5-72B: 11.5 (#300)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Multilingual Not comparable
INTELLECT-1: —, Qwen1.5-72B: 33.2 (#253)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | — | 1135 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |
Instruction Following Not comparable
INTELLECT-1: —, Qwen1.5-72B: 59.3 (#256)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | — | 1141 |
Long Context Not comparable
INTELLECT-1: —, Qwen1.5-72B: 35.1 (#243)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | — | 1157 |
Writing & Preference Not comparable
INTELLECT-1: —, Qwen1.5-72B: 37.3 (#258)
| Benchmark | INTELLECT-1 | Qwen1.5-72B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1137 |
| LMArena Multi-Turn | — | 1160 |
Frequently asked questions
Is INTELLECT-1 better than Qwen1.5-72B?
Qwen1.5-72B has enough public results to be ranked (#285); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Qwen1.5-72B share?
0 benchmarks have published results for both models. INTELLECT-1 has 7 scored results on Noometry and Qwen1.5-72B has 22.