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| Attribute | Muse Glimmer 30Bmuse-glimmer-30b | GLM 5.3 Flashglm-5.3-flash |
|---|---|---|
| Pricing | ||
| Input | $0.35 / 1M | $0.075 / 1M |
| Output | $1.50 / 1M | $0.25 / 1M |
| Cache Write (5m) | $0.35 / 1M | $0.075 / 1M |
| Cache Write (1h) | $0.35 / 1M | $0.075 / 1M |
| Cache Read | $0.35 / 1M | $0.075 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 131K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Meta | Z.AI |
| Category | chat | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It combines strong multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across 100+ languages. Designed for long-horizon agentic and coding workflows, Muse Glimmer 30B offers a practical balance of capability and deployment efficiency, making it well suited for local coding assistants, multimodal agents, and production workflows that require sustained autonomous execution. | GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads. |