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
6 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
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Native multimodal GLM model for efficient coding and long-horizon agent tasks
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | 51.2 | 262.144K | $0.1 | $0.2 | 2026-08-27 | |||
| Qwen3.8 27Balibaba/qwen3.8-27b | 42.9 | 262.144K | $0.04 | $1.35 | 2026-08-14 | |||
| GLM-5.3-Flashzhipuai/glm-5.3-flash | 26.3 | 1M | $0.12 | $0.418 | 2026-08-26 |