Model comparison
INTELLECT-1 vs Qwen3.8 27B
Qwen3.8 27B has enough public results to be ranked (#68); 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.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| INTELLECT-1 | Qwen3.8 27B | |
|---|---|---|
| Provider | Hugging Face | Alibaba (Qwen) |
| Noometry Index | — | 46.0 |
| Released | 2024-11-29 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 7 | 31 |
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Category by category
Coding Not comparable
INTELLECT-1: —, Qwen3.8 27B: 50.5 (#44)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LMArena Coding | — | 1482 |
Agentic & Tool Use Not comparable
INTELLECT-1: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Not comparable
INTELLECT-1: —, Qwen3.8 27B: 41.0 (#54)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| Epoch Capabilities Index | 100.86 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMArena Hard Prompts | — | 1460 |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| BIG-Bench Hard | 34.9% | — |
| HellaSwag | 71.4% | — |
| WinoGrande | 65.8% | — |
Math Not comparable
INTELLECT-1: —, Qwen3.8 27B: 37.1 (#161)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |
| GSM8K | 38.6% | — |
Knowledge Not comparable
INTELLECT-1: —, Qwen3.8 27B: 41.6 (#109)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | — | 1482 |
| ARC (AI2) Challenge | 54.5% | — |
| MMLU | 49.9% | — |
Multimodal Not comparable
INTELLECT-1: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
INTELLECT-1: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |
Instruction Following Not comparable
INTELLECT-1: —, Qwen3.8 27B: 75.8 (#53)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
INTELLECT-1: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Not comparable
INTELLECT-1: —, Qwen3.8 27B: 65.8 (#43)
| Benchmark | INTELLECT-1 | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is INTELLECT-1 better than Qwen3.8 27B?
Qwen3.8 27B has enough public results to be ranked (#68); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do INTELLECT-1 and Qwen3.8 27B share?
1 benchmark has published results for both models. INTELLECT-1 has 7 scored results on Noometry and Qwen3.8 27B has 31.