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
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
DeepSeek V4.1 Flash model for reasoning and agentic coding
70 providers
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
46 providers
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.
12 providers
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | Alibaba Qwen |
91.7 | 262.144K | $0.1 | $0.2 | 2026-08-27 | ||
| DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash | DeepSeek |
90.9 | 1M | $0.02 | $1 | 2026-09-10 | ||
| Qwen3.8 27Balibaba/qwen3.8-27b | Alibaba Qwen |
89.2 | 262.144K | $0.04 | $1.35 | 2026-08-14 | ||
| Muse Glimmer 30Bmeta/muse-glimmer-30b | Meta |
83.5 | 131.072K | $0.2 | $0.8 | 2026-08-10 |