Skip to content

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. GPT-6 Astra ProOpenAIRemove
  2. Veo 3 FastGoogleRemove
  3. Hy4 previewTencentRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs veo3-fast vs hy4-preview vs glm-5.3
AttributeGPT-6 Astra Progpt-6-astra-proVeo 3 Fastveo3-fastHy4 previewhy4-previewGLM 5.3glm-5.3
Pricing
Input$10.00 / 1M$0.834 / 1M$1.40 / 1M
Output$50.00 / 1M$2.50 / 1M$4.40 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$0.834 / 1M$1.40 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$0.834 / 1M$1.40 / 1M
Cache Read$10.00 / 1MNot applicable$0.834 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$1.26 / request
BillingPay Per Request
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIGoogleTencentZ.AI
Categorychatvideochatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.