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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GLM 5.3 FlashZ.AIRemove
  2. Claude Fable 5.1AnthropicRemove
  3. Muse Glimmer 30BMetaRemove
glm-5.3-flash vs claude-fable-5.1 vs muse-glimmer-30b
AttributeGLM 5.3 Flashglm-5.3-flashClaude Fable 5.1claude-fable-5.1Muse Glimmer 30Bmuse-glimmer-30b
Pricing
Input$0.075 / 1M$10.00 / 1M$0.35 / 1M
Output$0.25 / 1M$50.00 / 1M$1.50 / 1M
Cache Write (5m)$0.075 / 1M$12.50 / 1M$0.35 / 1M
Cache Write (1h)$0.075 / 1M$20.00 / 1M$0.35 / 1M
Cache Read$0.075 / 1M$1.00 / 1M$0.35 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M131K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderZ.AIAnthropicMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.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.