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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. Gemini 1.5 Pro Experimental 0801GoogleRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Hy4 previewTencentRemove
gemini-pro-1.5-exp-0801 vs glm-5.3-flash vs hy4-preview
AttributeGemini 1.5 Pro Experimental 0801gemini-pro-1.5-exp-0801GLM 5.3 Flashglm-5.3-flashHy4 previewhy4-preview
Pricing
Input$3.50 / 1M$0.075 / 1M$0.834 / 1M
Output$10.50 / 1M$0.25 / 1M$2.50 / 1M
Cache Write (5m)$3.50 / 1M$0.075 / 1M$0.834 / 1M
Cache Write (1h)$3.50 / 1M$0.075 / 1M$0.834 / 1M
Cache Read$3.50 / 1M$0.075 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context2M1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleZ.AITencent
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
Summary—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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.