Model comparison
INTELLECT-1 vs Qwen3.7 Max
Qwen3.7 Max has enough public results to be ranked (#42); 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 Max | |
|---|---|---|
| Provider | Hugging Face | Alibaba (Qwen) |
| Noometry Index | — | 51.5 |
| Released | 2024-11-29 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 7 | 33 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Qwen3.7 Max: 50.4 (#45)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Not comparable
INTELLECT-1: —, Qwen3.7 Max: 49.2 (#38)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| Epoch Capabilities Index | 100.86 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| BIG-Bench Hard | 34.9% | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Qwen3.7 Max: 62.4 (#32)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Multilingual Not comparable
INTELLECT-1: —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
INTELLECT-1: —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
INTELLECT-1: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Not comparable
INTELLECT-1: —, Qwen3.7 Max: 65.0 (#54)
| Benchmark | INTELLECT-1 | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is INTELLECT-1 better than Qwen3.7 Max?
Qwen3.7 Max has enough public results to be ranked (#42); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Qwen3.7 Max share?
1 benchmark has published results for both models. INTELLECT-1 has 7 scored results on Noometry and Qwen3.7 Max has 33.