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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. GPT-6 Astra ProOpenAIRemove
  2. Claude Fable 5.1AnthropicRemove
  3. GLM 5.3Z.AIRemove
  4. Qwen3 14BAlibabaRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs claude-fable-5.1 vs glm-5.3 vs qwen3-14b
AttributeGPT-6 Astra Progpt-6-astra-proClaude Fable 5.1claude-fable-5.1GLM 5.3glm-5.3Qwen3 14Bqwen3-14b
Pricing
Input$10.00 / 1M$10.00 / 1M$1.40 / 1M$0.08 / 1M
Output$50.00 / 1M$50.00 / 1M$4.40 / 1M$0.24 / 1M
Cache Write (5m)$10.00 / 1M$12.50 / 1M$1.40 / 1M$0.08 / 1M
Cache Write (1h)$10.00 / 1M$20.00 / 1M$1.40 / 1M$0.08 / 1M
Cache Read$10.00 / 1M$1.00 / 1M$1.40 / 1M$0.08 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M41.0K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIAnthropicZ.AIAlibaba
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.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.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.