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
MiniMax multimodal model for long-context coding, perception, and agent planning
Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | 62.5 | 262.144K | $0.1 | $0.2 | 2026-08-27 | |||
| MiniMax-M3minimax/MiniMax-M3 | 59.0 | 1.04858M | $0.3 | $1.2 | 2026-06-01 | |||
| Muse Glimmer 30Bmeta/muse-glimmer-30b | 51.2 | 131.072K | $0.2 | $0.8 | 2026-08-10 | |||
| Kimi K2.6moonshotai/kimi-k2.6 | 27.3 | 262.144K | $0.95 | $4 | 2026-04-20 |