Model comparison
INTELLECT-1 vs Qwen3.7 Plus
Qwen3.7 Plus has enough public results to be ranked (#66); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Hugging Face
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
Side by side
| INTELLECT-1 | Qwen3.7 Plus | |
|---|---|---|
| Provider | Hugging Face | Alibaba (Qwen) |
| Noometry Index | — | 45.0 |
| Released | 2024-11-29 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 7 | 32 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 36.1 (#200)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| LMArena Coding | — | 1473 |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 21.2 (#130)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 38.4 (#54)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| Epoch Capabilities Index | 100.38 | 147.39 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| LMArena Hard Prompts | — | 1460 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| BIG-Bench Hard | 34.9% | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 49.3 (#47)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1467 |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 54.9 (#46)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| LMArena Expert | — | 1467 |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Multimodal Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 41.2 (#30)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 55.0 (#36)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | — | 1445 |
| LMArena Chinese | — | 1510 |
| LMArena French | — | 1471 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1416 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1453 |
Instruction Following Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 75.9 (#49)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 44.5 (#61)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | — | 1454 |
Writing & Preference Not comparable
INTELLECT-1: —, Qwen3.7 Plus: 64.5 (#54)
| Benchmark | INTELLECT-1 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | — | 1454 |
| LMArena Creative Writing | — | 1439 |
| LMArena Multi-Turn | — | 1459 |
Frequently asked questions
Is INTELLECT-1 better than Qwen3.7 Plus?
Qwen3.7 Plus has enough public results to be ranked (#66); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Qwen3.7 Plus share?
1 benchmark has published results for both models. INTELLECT-1 has 7 scored results on Noometry and Qwen3.7 Plus has 32.