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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. Hy4 previewTencentRemove
  2. Veo 3.1 4K (Fast)GoogleRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

hy4-preview vs veo3.1-fast-4k vs deepseek-v4.1-flash vs glm-5.3-flash
AttributeHy4 previewhy4-previewVeo 3.1 4K (Fast)veo3.1-fast-4kDeepSeek V4.1 Flashdeepseek-v4.1-flashGLM 5.3 Flashglm-5.3-flash
Pricing
Input$0.834 / 1M$0.30 / 1M$0.075 / 1M
Output$2.50 / 1M$1.20 / 1M$0.25 / 1M
Cache Write (5m)$0.834 / 1MNot applicable$0.30 / 1M$0.075 / 1M
Cache Write (1h)$0.834 / 1MNot applicable$0.30 / 1M$0.075 / 1M
Cache Read$0.834 / 1MNot applicable$0.30 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$0.3225 / request
BillingPay Per Request
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderTencentGoogleDeepSeekZ.AI
Categorychatvideochatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released
Description
SummaryTencent 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.Veo 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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.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.