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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 AstraOpenAIRemove
  3. Qwen3 235B A22BAlibabaRemove
glm-5.3 vs gpt-6-astra vs qwen3-235b-a22b
AttributeGLM 5.3glm-5.3GPT-6 Astragpt-6-astraQwen3 235B A22Bqwen3-235b-a22b
Pricing
Input$1.40 / 1M$10.00 / 1M$0.20 / 1M
Output$4.40 / 1M$50.00 / 1M$0.60 / 1M
Cache Write (5m)$1.40 / 1M$10.00 / 1M$0.20 / 1M
Cache Write (1h)$1.40 / 1M$10.00 / 1M$0.20 / 1M
Cache Read$1.40 / 1M$10.00 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M41.0K
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderZ.AIOpenAIAlibaba
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.