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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. Mixtral 8x7B InstructMistral AIRemove
  2. GPT-6 AstraOpenAIRemove
  3. GLM 5.3Z.AIRemove
mixtral-8x7b-instruct vs gpt-6-astra vs glm-5.3
AttributeMixtral 8x7B Instructmixtral-8x7b-instructGPT-6 Astragpt-6-astraGLM 5.3glm-5.3
Pricing
Input$60.00 / 1M$10.00 / 1M$1.40 / 1M
Output$60.00 / 1M$50.00 / 1M$4.40 / 1M
Cache Write (5m)$60.00 / 1M$10.00 / 1M$1.40 / 1M
Cache Write (1h)$60.00 / 1M$10.00 / 1M$1.40 / 1M
Cache Read$60.00 / 1M$10.00 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context32.8K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderMistral AIOpenAIZ.AI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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-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.