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Compare models

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

  1. Claude Fable 5.1AnthropicRemove
  2. GLM 5.3Z.AIRemove
  3. Veo 3GoogleRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs glm-5.3 vs veo3 vs glm-5.3-flash
AttributeClaude Fable 5.1claude-fable-5.1GLM 5.3glm-5.3Veo 3veo3GLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M$1.40 / 1M$0.075 / 1M
Output$50.00 / 1M$4.40 / 1M$0.25 / 1M
Cache Write (5m)$12.50 / 1M$1.40 / 1MNot applicable$0.075 / 1M
Cache Write (1h)$20.00 / 1M$1.40 / 1MNot applicable$0.075 / 1M
Cache Read$1.00 / 1M$1.40 / 1MNot applicable$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$1.26 / request
BillingPay Per Request
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderAnthropicZ.AIGoogleZ.AI
Categorychatchatvideochat
Charge typePay As You GoPay As You GoPay Per RequestPay As You Go
Released
Description
SummaryClaude 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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task 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.