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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. Nemotron Nano 9B V2 (Free)NVIDIARemove
  3. Hy4 previewTencentRemove
gemini-3.8-flash vs nemotron-nano-9b-v2 vs hy4-preview
AttributeGemini 3.8 Flashgemini-3.8-flashNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2Hy4 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$0.834 / 1M
Cache Write (1h)$0.75 / 1M$0.834 / 1M
Cache Read$0.75 / 1M$0 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M131.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleNVIDIATencent
Categorychatchatchat
Charge typePay As You GoFreePay 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.NVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.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.