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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 5.3 FlashZ.AIRemove
  2. Gemini 2.5 Pro DeepSearchGoogleRemove
glm-5.3-flash vs gemini-2.5-pro-deepsearch
AttributeGLM 5.3 Flashglm-5.3-flashGemini 2.5 Pro DeepSearchgemini-2.5-pro-deepsearch
Pricing
Input$0.075 / 1M$7.00 / 1M
Output$0.25 / 1M$56.00 / 1M
Cache Write (5m)$0.075 / 1M$7.00 / 1M
Cache Write (1h)$0.075 / 1M$7.00 / 1M
Cache Read$0.075 / 1M$7.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1.0M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderZ.AIGoogle
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryGLM-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 2.5 Pro is Google's top reasoning model for coding, math, and scientific work. It uses built-in “thinking” to deliver more accurate, context-aware answers and ranks at the top of major benchmarks like LMArena, showing strong alignment and problem-solving ability.