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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. Perceptron Mk1.5PerceptronRemove
glm-5.3 vs gpt-6-astra-pro vs perceptron-mk1.5
AttributeGLM 5.3glm-5.3GPT-6 Astra Progpt-6-astra-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$1.40 / 1M$10.00 / 1M$0.15 / 1M
Output$4.40 / 1M$50.00 / 1M$1.50 / 1M
Cache Write (5m)$1.40 / 1M$10.00 / 1M$0.15 / 1M
Cache Write (1h)$1.40 / 1M$10.00 / 1M$0.15 / 1M
Cache Read$1.40 / 1M$10.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderZ.AIOpenAIPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.