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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. Moonshot V1 8kMoonshot AIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
moonshot-v1-8k vs gemini-3.8-flash vs deepseek-v4.1-flash
AttributeMoonshot V1 8kmoonshot-v1-8kGemini 3.8 Flashgemini-3.8-flashDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$1.65 / 1M$0.75 / 1M$0.30 / 1M
Output$1.65 / 1M$3.75 / 1M$1.20 / 1M
Cache Write (5m)$1.65 / 1M$0.75 / 1M$0.30 / 1M
Cache Write (1h)$1.65 / 1M$0.75 / 1M$0.30 / 1M
Cache Read$1.65 / 1M$0.75 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context8.2K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderMoonshot AIGoogleDeepSeek
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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.