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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 AstraOpenAIRemove
  3. GLM-4Z.AIRemove
glm-5.3 vs gpt-6-astra vs glm-4
AttributeGLM 5.3glm-5.3GPT-6 Astragpt-6-astraGLM-4glm-4
Pricing
Input$1.40 / 1M$10.00 / 1M$0.21 / 1M
Output$4.40 / 1M$50.00 / 1M$0.21 / 1M
Cache Write (5m)$1.40 / 1M$10.00 / 1M$0.21 / 1M
Cache Write (1h)$1.40 / 1M$10.00 / 1M$0.21 / 1M
Cache Read$1.40 / 1M$10.00 / 1M$0.21 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M128K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderZ.AIOpenAIZ.AI
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 is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.GLM-4V-9B is the open-source multimodal model in Zhipu AI’s GLM-4 series. It supports high-resolution (1120×1120) bilingual Chinese–English dialogue across multiple turns, and performs strongly in perception, reasoning, OCR, and chart understanding. Across many multimodal benchmarks, it outperforms models such as GPT-4-turbo-2024-04-09, Gemini 1.0 Pro, Qwen-VL-Max, and Claude 3 Opus.