Skip to content

Compare models

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. Veo 3 Pro FramesGoogleRemove
  3. Muse Spark 1.3MetaRemove
gemini-3.8-flash vs veo3-pro-frames vs muse-spark-1.3
AttributeGemini 3.8 Flashgemini-3.8-flashVeo 3 Pro Framesveo3-pro-framesMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.75 / 1M$1.25 / 1M
Output$3.75 / 1M$4.25 / 1M
Cache Write (5m)$0.75 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$0.75 / 1MNot applicable$1.25 / 1M
Cache Read$0.75 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M
Request$5.60 / request
BillingPay Per Request
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleGoogleMeta
Categorychatvideochat
Charge typePay As You GoPay Per RequestPay 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.Muse 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.