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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 3.8 FlashGoogleRemove
  2. Hy4 previewTencentRemove
  3. Gemini 2.5 Flash Preview (thinking)GoogleRemove
gemini-3.8-flash vs hy4-preview vs gemini-2.5-flash-preview:thinking
AttributeGemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-previewGemini 2.5 Flash Preview (thinking)gemini-2.5-flash-preview:thinking
Pricing
Input$0.75 / 1M$0.834 / 1M$0.075 / 1M
Output$3.75 / 1M$2.50 / 1M$1.75 / 1M
Cache Write (5m)$0.75 / 1M$0.834 / 1M$0.075 / 1M
Cache Write (1h)$0.75 / 1M$0.834 / 1M$0.075 / 1M
Cache Read$0.75 / 1M$0.834 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1.0M
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 3.8 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.Gemini 2.5 Flash Preview (May 2025) is Google's high-performance general model built for advanced reasoning, coding, math, and science. It includes built-in “thinking” features to deliver more accurate, context-aware answers.