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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. Hy4 previewTencentRemove
  2. Gemini 2.5 Flash Image (Nano Banana)GoogleRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

hy4-preview vs gemini-2.5-flash-image vs glm-5.3 vs gemini-3.8-flash
AttributeHy4 previewhy4-previewGemini 2.5 Flash Image (Nano Banana)gemini-2.5-flash-imageGLM 5.3glm-5.3Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.834 / 1M$1.40 / 1M$0.75 / 1M
Output$2.50 / 1M$4.40 / 1M$3.75 / 1M
Cache Write (5m)$0.834 / 1MNot applicable$1.40 / 1M$0.75 / 1M
Cache Write (1h)$0.834 / 1MNot applicable$1.40 / 1M$0.75 / 1M
Cache Read$0.834 / 1MNot applicable$1.40 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$0.075 / request
BillingPay Per Request
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderTencentGoogleZ.AIGoogle
Categorychatimagechatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released
Description
SummaryTencent 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.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.GLM-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.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.