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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 3 Pro FramesGoogleRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GLM 5.3Z.AIRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

veo3-pro-frames vs gemini-3.8-flash vs glm-5.3 vs muse-spark-1.3
AttributeVeo 3 Pro Framesveo3-pro-framesGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3Muse Spark 1.3muse-spark-1.3
Pricing
Request$5.60 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.75 / 1M$1.40 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$1.40 / 1M$1.25 / 1M
Cache ReadNot applicable$0.75 / 1M$1.40 / 1M$1.25 / 1M
Input$0.75 / 1M$1.40 / 1M$1.25 / 1M
Output$3.75 / 1M$4.40 / 1M$4.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleGoogleZ.AIMeta
Categoryvideochatchatchat
Charge typePay Per RequestPay 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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.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.