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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. OlympicCoder 32BOpen R1Remove
  3. Hy4 previewTencentRemove
gemini-3.8-flash vs olympiccoder-32b vs hy4-preview
AttributeGemini 3.8 Flashgemini-3.8-flashOlympicCoder 32Bolympiccoder-32bHy4 previewhy4-preview
Pricing
Input$0.75 / 1M$0 / 1M$0.834 / 1M
Output$3.75 / 1M$0 / 1M$2.50 / 1M
Cache Write (5m)$0.75 / 1M$0.00 / 1M$0.834 / 1M
Cache Write (1h)$0.75 / 1M$0.00 / 1M$0.834 / 1M
Cache Read$0.75 / 1M$0.00 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M32.8K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleOpen R1Tencent
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.