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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. Muse Spark 1.3MetaRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. Veo 3 ProGoogleRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gemini-3.7-flash vs glm-5.3-flash vs veo3-pro
AttributeMuse Spark 1.3muse-spark-1.3Gemini 3.7 Flashgemini-3.7-flashGLM 5.3 Flashglm-5.3-flashVeo 3 Proveo3-pro
Pricing
Input$1.25 / 1M$0.375 / 1M$0.075 / 1M
Output$4.25 / 1M$1.88 / 1M$0.25 / 1M
Cache Write (5m)$1.25 / 1M$0.375 / 1M$0.075 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$0.375 / 1M$0.075 / 1MNot applicable
Cache Read$1.25 / 1M$0.375 / 1M$0.075 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$5.60 / request
BillingPay Per Request
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderMetaGoogleZ.AIGoogle
Categorychatchatchatvideo
Charge typePay As You GoPay As You GoPay As You GoPay Per Request
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 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.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.