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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 3GoogleRemove
  2. Muse Spark 1.3MetaRemove
  3. Hy4 previewTencentRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

veo3 vs muse-spark-1.3 vs hy4-preview vs glm-5.3
AttributeVeo 3veo3Muse Spark 1.3muse-spark-1.3Hy4 previewhy4-previewGLM 5.3glm-5.3
Pricing
Request$1.26 / request
BillingPay Per Request
Cache Write (5m)Not applicable$1.25 / 1M$0.834 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$0.834 / 1M$1.40 / 1M
Cache ReadNot applicable$1.25 / 1M$0.834 / 1M$1.40 / 1M
Input$1.25 / 1M$0.834 / 1M$1.40 / 1M
Output$4.25 / 1M$2.50 / 1M$4.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleMetaTencentZ.AI
Categoryvideochatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.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.