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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. Grok 4.7SpaceXAIRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. GPT-6 Astra ProOpenAIRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs grok-4.7 vs glm-5.3-flash vs gpt-6-astra-pro
AttributeGLM 5.3glm-5.3Grok 4.7grok-4.7GLM 5.3 Flashglm-5.3-flashGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$1.40 / 1M$1.60 / 1M$0.075 / 1M$10.00 / 1M
Output$4.40 / 1M$4.80 / 1M$0.25 / 1M$50.00 / 1M
Cache Write (5m)$1.40 / 1M$1.60 / 1M$0.075 / 1M$10.00 / 1M
Cache Write (1h)$1.40 / 1M$1.60 / 1M$0.075 / 1M$10.00 / 1M
Cache Read$1.40 / 1M$1.60 / 1M$0.075 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M500K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AISpaceXAIZ.AIOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay 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.Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.