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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. GLM 4.7 FlashZ.AIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs glm-4.7-flash vs gemini-3.8-flash vs gemini-3.7-flash
AttributeGLM 5.3glm-5.3GLM 4.7 Flashglm-4.7-flashGemini 3.8 Flashgemini-3.8-flashGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$1.40 / 1M$0.06 / 1M$0.75 / 1M$0.375 / 1M
Output$4.40 / 1M$0.40 / 1M$3.75 / 1M$1.88 / 1M
Cache Write (5m)$1.40 / 1M$0.06 / 1M$0.75 / 1M$0.375 / 1M
Cache Write (1h)$1.40 / 1M$0.06 / 1M$0.75 / 1M$0.375 / 1M
Cache Read$1.40 / 1M$0.06 / 1M$0.75 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M200K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIZ.AIGoogleGoogle
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.GLM-4.7-Flash is a state-of-the-art 30B-class model designed to strike a strong balance between performance and efficiency. It is specifically optimized for agentic coding scenarios, with enhanced capabilities in code generation, long-horizon task planning, and tool-based collaboration. Among open-source models of comparable size, GLM-4.7-Flash has achieved leading results on multiple public benchmark leaderboards, establishing itself as a competitive and practical choice for advanced developer and agent workflows.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.