Model comparison
INTELLECT-1 vs Qwen3-1.7B
Qwen3-1.7B has enough public results to be ranked (#331); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Qwen3-1.7B | |
|---|---|---|
| Provider | Hugging Face | Alibaba (Qwen) |
| Noometry Index | — | 26.2 |
| Released | 2024-11-29 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 4 |
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Category by category
Agentic & Tool Use Not comparable
INTELLECT-1: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | INTELLECT-1 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Not comparable
INTELLECT-1: —, Qwen3-1.7B: 18.5 (#263)
| Benchmark | INTELLECT-1 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | 34.9% | — |
| Epoch Capabilities Index | 100.38 | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Qwen3-1.7B: 15.4 (#288)
| Benchmark | INTELLECT-1 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Qwen3-1.7B: 19.6 (#273)
| Benchmark | INTELLECT-1 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Frequently asked questions
Is INTELLECT-1 better than Qwen3-1.7B?
Qwen3-1.7B has enough public results to be ranked (#331); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Qwen3-1.7B share?
0 benchmarks have published results for both models. INTELLECT-1 has 7 scored results on Noometry and Qwen3-1.7B has 4.