MiniMax multimodal model for long-context coding, perception, and agent planning
49 providers
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
MiniMax multimodal model for long-context coding, perception, and agent planning
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
Qwen vision-language model for visual reasoning, documents, and agent tasks
Large open Qwen multimodal MoE for visual agents and long technical tasks
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.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| MiniMax-M3minimax/MiniMax-M3 | 80.5 | 1.04858M | $0.3 | $1.2 | 2026-06-01 | |||
| Kimi K2.6moonshotai/kimi-k2.6 | 80.2 | 262.144K | $0.95 | $4 | 2026-04-20 | |||
| Qwen3.6 27Balibaba/qwen3.6-27b | 77.2 | 262.144K | $0.6 | $3.6 | 2026-04-22 | |||
| Qwen3.5 397B-A17Balibaba/qwen3.5-397b-a17b | 76.4 | 262.144K | $0.6 | $3.6 | 2026-02-15 | |||
| Muse Glimmer 30Bmeta/muse-glimmer-30b | 76.0 | 131.072K | $0.2 | $0.8 | 2026-08-10 |