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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 LunaOpenAIRemove
glm-5.3 vs gpt-6-luna
AttributeGLM 5.3glm-5.3GPT-6 Lunagpt-6-luna
Pricing
Input$1.40 / 1M$0.10 / 1M
Output$4.40 / 1M$0.50 / 1M
Cache Write (5m)$1.40 / 1M$0.10 / 1M
Cache Write (1h)$1.40 / 1M$0.10 / 1M
Cache Read$1.40 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1.1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderZ.AIOpenAI
Categorychatchat
Charge typePay 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 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.