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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 5Z.AIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

glm-5 vs glm-5.3-flash vs gemini-3.8-flash vs gemini-3.7-flash
AttributeGLM 5glm-5GLM 5.3 Flashglm-5.3-flashGemini 3.8 Flashgemini-3.8-flashGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.60 / 1M$0.075 / 1M$0.75 / 1M$0.375 / 1M
Output$2.20 / 1M$0.25 / 1M$3.75 / 1M$1.88 / 1M
Cache Write (5m)$0.60 / 1M$0.075 / 1M$0.75 / 1M$0.375 / 1M
Cache Write (1h)$0.60 / 1M$0.075 / 1M$0.75 / 1M$0.375 / 1M
Cache Read$0.60 / 1M$0.075 / 1M$0.75 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
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 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.