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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 Sonnet 5.5AnthropicRemove
  3. GLM 5.3Z.AIRemove
gpt-6-astra-pro vs claude-sonnet-5.5 vs glm-5.3
AttributeGPT-6 Astra Progpt-6-astra-proClaude Sonnet 5.5claude-sonnet-5.5GLM 5.3glm-5.3
Pricing
Input$10.00 / 1M$2.00 / 1M$1.40 / 1M
Output$50.00 / 1M$10.00 / 1M$4.40 / 1M
Cache Write (5m)$10.00 / 1M$2.50 / 1M$1.40 / 1M
Cache Write (1h)$10.00 / 1M$4.00 / 1M$1.40 / 1M
Cache Read$10.00 / 1M$0.10 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIAnthropicZ.AI
Categorychatchatchat
Charge typePay 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 Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.