Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding
4 providers
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding
Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | 262.144K | $0.12 | $0.4 | 2026-08-27 | |||
| Qwen3.8 2.4T A95Balibaba/qwen3.8-2.4t-a95b | 262.144K | $2 | $6 | 2026-08-12 | |||
| Qwen3.5 27Balibaba/qwen3.5-27b | 262.144K | $0.3 | $2.4 | 2026-02-23 | |||
| Qwen3.5 35B-A3Balibaba/qwen3.5-35b-a3b | 262.144K | $0.25 | $2 | 2026-02-23 |