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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. GPT-6 Astra ProOpenAIRemove
  3. Claude Opus 5AnthropicRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

hy4-preview vs gpt-6-astra-pro vs claude-opus-5 vs glm-5.3
AttributeHy4 previewhy4-previewGPT-6 Astra Progpt-6-astra-proClaude Opus 5claude-opus-5GLM 5.3glm-5.3
Pricing
Input$0.834 / 1M$10.00 / 1M$5.00 / 1M$1.40 / 1M
Output$2.50 / 1M$50.00 / 1M$25.00 / 1M$4.40 / 1M
Cache Write (5m)$0.834 / 1M$10.00 / 1M$6.25 / 1M$1.40 / 1M
Cache Write (1h)$0.834 / 1M$10.00 / 1M$10.00 / 1M$1.40 / 1M
Cache Read$0.834 / 1M$10.00 / 1M$0.50 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderTencentOpenAIAnthropicZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay 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.GPT-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.Claude Opus 5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows. It excels at end-to-end software engineering, code review, bug detection, visual analysis of charts and documents, complex office deliverables, and parallel subagent coordination. The model maintains reliable instruction following and tool use across extended tasks, while remaining effective at lower reasoning-effort settings for workloads that prioritize latency and token efficiency.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.