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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. Moonshot V1 32kMoonshot AIRemove
  3. Qwen3.8 27BAlibabaRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

hy4-preview vs moonshot-v1-32k vs qwen3.8-27b vs gpt-6-astra
AttributeHy4 previewhy4-previewMoonshot V1 32kmoonshot-v1-32kQwen3.8 27Bqwen3.8-27bGPT-6 Astragpt-6-astra
Pricing
Input$0.834 / 1M$3.29 / 1M$0.45 / 1M$10.00 / 1M
Output$2.50 / 1M$3.29 / 1M$3.20 / 1M$50.00 / 1M
Cache Write (5m)$0.834 / 1M$3.29 / 1M$0.45 / 1M$10.00 / 1M
Cache Write (1h)$0.834 / 1M$3.29 / 1M$0.45 / 1M$10.00 / 1M
Cache Read$0.834 / 1M$3.29 / 1M$0.45 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M32K262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderTencentMoonshot AIAlibabaOpenAI
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.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.