Tencent Releases Hy3 Preview: Mixture-of-Experts Model with 262K Context and Configurable Reasoning
Tencent has released Hy3 preview, a Mixture-of-Experts model with a 262,144 token context window priced at $0.066 per million input tokens and $0.26 per million output tokens. The model features three configurable reasoning modes—disabled, low, and high—designed for agentic workflows and production environments.
Hy3 Preview — Quick Specs
Tencent Releases Hy3 Preview: Mixture-of-Experts Model with 262K Context and Configurable Reasoning
Tencent has released Hy3 preview, a Mixture-of-Experts (MoE) model with a 262,144 token context window, priced at $0.066 per million input tokens and $0.26 per million output tokens.
Key Specifications
The model supports three configurable reasoning levels: disabled, low, and high modes. According to Tencent, this allows users to balance computational speed against reasoning depth depending on task requirements.
Hy3 preview is designed specifically for agentic workflows and production environments. Tencent claims the model delivers strong code generation capabilities and reliable performance across multi-step, real-world workflows.
Reasoning Architecture
The model exposes its reasoning process through a reasoning_details array in API responses. When enabled, the model shows step-by-step thinking before producing final answers. To maintain reasoning continuity across conversation turns, developers must preserve the complete reasoning_details when passing messages back to the model.
The reasoning feature is controlled via a reasoning parameter in API requests, allowing developers to toggle between the three modes based on task complexity.
Availability
Hy3 preview is available through OpenRouter's API, which normalizes requests and responses across multiple model providers. The model was released on April 22, 2026, according to the OpenRouter model registry.
Model weights are available, though distribution details were not specified in the release information.
Pricing Context
At $0.066 per million input tokens, Hy3 preview positions itself in the lower cost tier for frontier models. The 3.9x multiplier between input and output pricing ($0.26 per million output tokens) is standard for models with generation-focused workloads.
What This Means
Tencent's entry with a configurable reasoning model signals continued competition in the agent-focused AI space. The three-tier reasoning system is a practical approach to the speed-versus-accuracy tradeoff that developers face when building production systems. The 262K context window places it in the extended-context category, though still below the 1M+ context leaders. The combination of MoE architecture, configurable reasoning, and competitive pricing makes this a relevant option for developers building multi-step agentic applications who need cost-effective inference with reasoning capabilities.
Related Articles
Xiaomi Releases MiMo-V2.6-Pro-RL, a 1.02T-Parameter Omnimodal Model with 1M-Token Context
Xiaomi's MiMo team has released MiMo-V2.6-Pro-RL, a 1.02-trillion-parameter sparse mixture-of-experts model with 42B active parameters, 1M-token context, and native text/image/video/audio processing. The model was trained via a single mixed reinforcement learning run spanning coding, agentic, visual, and cybersecurity tasks, with benchmark scores that Xiaomi claims approach or match Claude Opus 5 and GPT-5.6 on several agentic and coding tests.
Xiaomi Releases MiMo-V2.6-Flash-RL, a 309B-Parameter MoE Model with 1M-Token Context and Native Omnimodal Support
Xiaomi's MiMo team released MiMo-V2.6-Flash-RL, an efficiency-tier checkpoint in the MiMo-V2.6 series featuring a 309B-parameter (15B active) Mixture-of-Experts architecture, 1M-token context, and native support for text, image, video, and audio. The model uses a single mixed reinforcement learning run across coding, agentic, visual, and cybersecurity tasks rather than domain-specific training.
Xiaomi Releases MiMo-V2.6-Flash: Open-Source MoE Model with 1M-Token Context, $0.14/$0.28 per 1M Tokens
Xiaomi has released MiMo-V2.6-Flash, an open-source Mixture-of-Experts model with 309B total parameters and 15B activated per token, featuring a 1M-token context window and native multimodal capabilities. Priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, it targets agentic coding and long-horizon task workflows.
Tencent Unveils Gander, a Voice AI That Keeps Talking While a Separate 'Brain' Handles Background Tasks
Tencent's Hunyuan Speech team, working with university researchers, has released a technical report on Gander, a voice AI model that separates real-time conversation handling from complex background reasoning. The model interrupts users less often than GPT-Realtime, Gemini Live, and Grok in tests, but lags on task accuracy and video/audio understanding.
Comments
Loading...