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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. CommandCohereRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. Claude Fable 5.1AnthropicRemove

4 is the maximum. Remove one to add another.

command vs gpt-6-astra-pro vs glm-5.3-flash vs claude-fable-5.1
AttributeCommandcommandGPT-6 Astra Progpt-6-astra-proGLM 5.3 Flashglm-5.3-flashClaude Fable 5.1claude-fable-5.1
Pricing
Input$0.95 / 1M$10.00 / 1M$0.075 / 1M$10.00 / 1M
Output$1.90 / 1M$50.00 / 1M$0.25 / 1M$50.00 / 1M
Cache Write (5m)$0.95 / 1M$10.00 / 1M$0.075 / 1M$12.50 / 1M
Cache Write (1h)$0.95 / 1M$10.00 / 1M$0.075 / 1M$20.00 / 1M
Cache Read$0.95 / 1M$10.00 / 1M$0.075 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context4.1K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderCohereOpenAIZ.AIAnthropic
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.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.