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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. GPT-6 Astra ProOpenAIRemove
  3. Veo 3 Pro FramesGoogleRemove
glm-5.3 vs gpt-6-astra-pro vs veo3-pro-frames
AttributeGLM 5.3glm-5.3GPT-6 Astra Progpt-6-astra-proVeo 3 Pro Framesveo3-pro-frames
Pricing
Input$1.40 / 1M$10.00 / 1M
Output$4.40 / 1M$50.00 / 1M
Cache Write (5m)$1.40 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$1.40 / 1M$10.00 / 1MNot applicable
Cache Read$1.40 / 1M$10.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Request$5.60 / request
BillingPay Per Request
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderZ.AIOpenAIGoogle
Categorychatchatvideo
Charge typePay As You GoPay As You GoPay Per Request
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.