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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 3.1 4K (Fast)GoogleRemove
  2. Hy4 previewTencentRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

veo3.1-fast-4k vs hy4-preview vs glm-5.3 vs gemini-3.7-flash
AttributeVeo 3.1 4K (Fast)veo3.1-fast-4kHy4 previewhy4-previewGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Request$0.3225 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.834 / 1M$1.40 / 1M$0.375 / 1M
Cache Write (1h)Not applicable$0.834 / 1M$1.40 / 1M$0.375 / 1M
Cache ReadNot applicable$0.834 / 1M$1.40 / 1M$0.375 / 1M
Input$0.834 / 1M$1.40 / 1M$0.375 / 1M
Output$2.50 / 1M$4.40 / 1M$1.88 / 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
StreamingYesYesYesYes
Catalogue
ProviderGoogleTencentZ.AIGoogle
Categoryvideochatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released
Description
SummaryVeo 3.1 is a state-of-the-art generative AI video model developed by Google DeepMind (part of the broader Gemini/Flow ecosystem). It builds on the earlier Veo models to make AI-generated video creation more realistic, expressive, and controllable.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.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.