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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. Qwen2-VL 72B InstructAlibabaRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Hy4 previewTencentRemove
qwen-2-vl-72b-instruct vs gemini-3.8-flash vs hy4-preview
AttributeQwen2-VL 72B Instructqwen-2-vl-72b-instructGemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-preview
Pricing
Input$2.40 / 1M$0.75 / 1M$0.834 / 1M
Output$2.40 / 1M$3.75 / 1M$2.50 / 1M
Cache Write (5m)$2.40 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (1h)$2.40 / 1M$0.75 / 1M$0.834 / 1M
Cache Read$2.40 / 1M$0.75 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context32K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderAlibabaGoogleTencent
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.