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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.8 2.4T A95BAlibabaRemove
  2. Hy4 previewTencentRemove
qwen3.8-2.4t-a95b vs hy4-preview
AttributeQwen3.8 2.4T A95Bqwen3.8-2.4t-a95bHy4 previewhy4-preview
Pricing
Input$1.80 / 1M$0.834 / 1M
Output$5.40 / 1M$2.50 / 1M
Cache Write (5m)$1.80 / 1M$0.834 / 1M
Cache Write (1h)$1.80 / 1M$0.834 / 1M
Cache Read$1.80 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaTencent
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryQwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.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.