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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 5.3 FlashZ.AIRemove
  3. Gemini 2.5 Flash Image (Nano Banana)GoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs glm-5.3-flash vs gemini-2.5-flash-image vs hy4-preview
AttributeGLM 5.3glm-5.3GLM 5.3 Flashglm-5.3-flashGemini 2.5 Flash Image (Nano Banana)gemini-2.5-flash-imageHy4 previewhy4-preview
Pricing
Input$1.40 / 1M$0.075 / 1M$0.834 / 1M
Output$4.40 / 1M$0.25 / 1M$2.50 / 1M
Cache Write (5m)$1.40 / 1M$0.075 / 1MNot applicable$0.834 / 1M
Cache Write (1h)$1.40 / 1M$0.075 / 1MNot applicable$0.834 / 1M
Cache Read$1.40 / 1M$0.075 / 1MNot applicable$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$0.075 / request
BillingPay Per Request
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIZ.AIGoogleTencent
Categorychatchatimagechat
Charge typePay As You GoPay As You GoPay Per RequestPay 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-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 Flash Image (“Nano Banana”) is now generally available. It’s a state-of-the-art image generation model with strong contextual understanding, supporting image creation, editing, and multi-turn conversational workflows around visuals.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.