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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 3.5 Flash-LiteGoogleRemove
  2. Hy4 previewTencentRemove
  3. Gemini 3.8 FlashGoogleRemove
gemini-3.5-flash-lite vs hy4-preview vs gemini-3.8-flash
AttributeGemini 3.5 Flash-Litegemini-3.5-flash-liteHy4 previewhy4-previewGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.30 / 1M$0.834 / 1M$0.75 / 1M
Output$2.50 / 1M$2.50 / 1M$3.75 / 1M
Cache Write (5m)$0.30 / 1M$0.834 / 1M$0.75 / 1M
Cache Write (1h)$0.30 / 1M$0.834 / 1M$0.75 / 1M
Cache Read$0.30 / 1M$0.834 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleTencentGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.5 Flash-Lite is Google's high-efficiency model with enhanced agentic capabilities, optimized for fast, cost-effective inference. It is designed to handle focused tasks with low latency while maintaining strong reasoning and execution quality. Well suited for subagents in complex multi-agent systems, Gemini 3.5 Flash-Lite excels at executing specialized tasks within larger workflows, making it ideal for scalable agent orchestration and high-throughput production environments.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.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.