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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. Gemini 3.8 FlashGoogleRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Veo 3GoogleRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs glm-5.3-flash vs veo3 vs muse-spark-1.3
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3 Flashglm-5.3-flashVeo 3veo3Muse Spark 1.3muse-spark-1.3
Pricing
Input$0.75 / 1M$0.075 / 1M$1.25 / 1M
Output$3.75 / 1M$0.25 / 1M$4.25 / 1M
Cache Write (5m)$0.75 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$0.75 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Cache Read$0.75 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$1.26 / request
BillingPay Per Request
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleZ.AIGoogleMeta
Categorychatchatvideochat
Charge typePay As You GoPay 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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.