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| Attribute | Hy4 previewhy4-preview | Qwen3.5-35B-A3Bqwen3.5-35b-a3b |
|---|---|---|
| Pricing | ||
| Input | $0.834 / 1M | $0.25 / 1M |
| Output | $2.50 / 1M | $2.00 / 1M |
| Cache Write (5m) | $0.834 / 1M | $0.25 / 1M |
| Cache Write (1h) | $0.834 / 1M | $0.25 / 1M |
| Cache Read | $0.834 / 1M | $0.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | 262.1K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Tencent | Alibaba |
| Category | chat | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | 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. | Qwen3.5-35B-A3B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design to enhance inference efficiency. It delivers balanced multimodal performance with overall capabilities comparable to Qwen3.5-27B, making it a practical option for efficient vision-language and agent-based applications. |