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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. DeepSeek V3 0324DeepSeekRemove
  2. Muse Spark 1.3MetaRemove
  3. Gemini 3.8 FlashGoogleRemove
deepseek-chat-v3-0324 vs muse-spark-1.3 vs gemini-3.8-flash
AttributeDeepSeek V3 0324deepseek-chat-v3-0324Muse Spark 1.3muse-spark-1.3Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.30 / 1M$1.25 / 1M$0.75 / 1M
Output$0.88 / 1M$4.25 / 1M$3.75 / 1M
Cache Write (5m)$0.30 / 1M$1.25 / 1M$0.75 / 1M
Cache Write (1h)$0.30 / 1M$1.25 / 1M$0.75 / 1M
Cache Read$0.30 / 1M$1.25 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context163.8K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderDeepSeekMetaGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.Gemini 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.