Skip to content
Apertis
Get started

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. Veo 3GoogleRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Muse Spark 1.3MetaRemove
veo3 vs gemini-3.8-flash vs muse-spark-1.3
AttributeVeo 3veo3Gemini 3.8 Flashgemini-3.8-flashMuse Spark 1.3muse-spark-1.3
Pricing
Request$1.26 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$0.75 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$1.25 / 1M
Cache ReadNot applicable$0.75 / 1M$1.25 / 1M
Input—$0.75 / 1M$1.25 / 1M
Output—$3.75 / 1M$4.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleMeta
Categoryvideochatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released———
Description
Summary—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.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.