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
Large coding-reasoning model for agentic software tasks and RL search
Large coding-reasoning model for agentic software tasks and RL search
Open coding-reasoning model for repository tasks and self-improving agents
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | 81.0 | 262.144K | $0.1 | $0.2 | 2026-08-27 | |||
| Ornith 1.0 397Bdeepreinforce/ornith-1.0-397b | 78.9 | 262.144K | — | — | 2026-06-25 | |||
| Ornith 1.0 35Bdeepreinforce/ornith-1.0-35b | 69.3 | 262.144K | — | — | 2026-06-25 | |||
| Ornith 1.0 9Bdeepreinforce/ornith-1.0-9b | 52.0 | 262.144K | — | — | 2026-06-25 |