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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. Gemini 3.8 FlashGoogleRemove
  2. Qwen2.5 32B InstructAlibabaRemove
  3. Hy4 previewTencentRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs qwen2.5-32b-instruct vs hy4-preview vs glm-5.3-flash
AttributeGemini 3.8 Flashgemini-3.8-flashQwen2.5 32B Instructqwen2.5-32b-instructHy4 previewhy4-previewGLM 5.3 Flashglm-5.3-flash
Pricing
Input$0.75 / 1M$0.79 / 1M$0.834 / 1M$0.075 / 1M
Output$3.75 / 1M$0.79 / 1M$2.50 / 1M$0.25 / 1M
Cache Write (5m)$0.75 / 1M$0.79 / 1M$0.834 / 1M$0.075 / 1M
Cache Write (1h)$0.75 / 1M$0.79 / 1M$0.834 / 1M$0.075 / 1M
Cache Read$0.75 / 1M$0.79 / 1M$0.834 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleAlibabaTencentZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.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.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.