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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. GLM 5.3Z.AIRemove
  2. Gemini 1.5 ProGoogleRemove
  3. GPT-6 Astra ProOpenAIRemove
glm-5.3 vs gemini-1.5-pro-latest vs gpt-6-astra-pro
AttributeGLM 5.3glm-5.3Gemini 1.5 Progemini-1.5-pro-latestGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$1.40 / 1M$1.26 / 1M$10.00 / 1M
Output$4.40 / 1M$5.04 / 1M$50.00 / 1M
Cache Write (5m)$1.40 / 1M$1.26 / 1M$10.00 / 1M
Cache Write (1h)$1.40 / 1M$1.26 / 1M$10.00 / 1M
Cache Read$1.40 / 1M$1.26 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M2M1M
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.GPT-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.