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Tencent Hy Hy3 Preview

Hy3 Preview

Run Hy3 Preview as Tencent's current open flagship LLM, using a 295B-parameter MoE model with 21B active parameters and an added 3.8B MTP layer for faster generation Analyze long codebases, documents and agent sessions with up to 256K tokens of context, supported by 80 transformer layers and grouped-query attention Switch between quick answers and deeper reasoning per task, with reported results of 74.4 on SWE-bench Verified, 54.4 on Terminal-Bench 2.0 and 67.1 on BrowseComp

Reviewed by ToolWorthy Editors·updated 2 months ago

Pricing:Free + from ¥1/per use
Newer version available·View latest
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Pros & Cons

Pros

  • First open-weight Tencent flagship after the February 2026 infrastructure rebuild, with a complete training pipeline (DeepSpeed ZeRO + LLaMA-Factory) shipped alongside weights
  • Fused fast-and-slow-thinking architecture supports configurable reasoning_effort modes in one model, reducing the need to deploy separate fast and reasoning variants for many workflows
  • 74.4 SWE-bench Verified is competitive with frontier coding models at a fraction of the API price
  • Free or limited-time hosted access appears available through Tencent Cloud/OpenRouter channels, but exact duration, quota, and regional access should be verified before production planning
  • Sparse 21B active / 295B total MoE design targets serving efficiency for high-throughput agent workloads

Cons

  • "Preview" branding indicates this is not yet a stable production release; expect iterative updates before a GA Hy3
  • 256K context is shorter than the 1M-token contexts offered by Claude Opus 4.6 and GLM-5
  • Custom Tencent Hy Community License has territory restrictions and a >100M MAU commercial trigger — review terms before commercial deployment
  • Independent third-party benchmark coverage is still limited at launch; most published numbers are Tencent's own
  • API documentation and onboarding are primarily Chinese-language at launch on Tencent Cloud CN

Overview

Tencent Hy3 Preview is the first major model released under the new Tencent HY brand on April 23, 2026 — and the first flagship model trained after Tencent's February 2026 rebuild of its pre-training and reinforcement-learning infrastructure, led by chief AI scientist Yao Shunyu. Multiple reports state that Hy3 Preview began training in late January 2026 and reached public release in under three months on the rebuilt stack — keep this framed as the reported timeline rather than an independently verified official changelog fact.

Hy3 Preview is a 295-billion-parameter Mixture-of-Experts language model with 21 billion active parameters, an additional 3.8B Multi-Token Prediction (MTP) layer, and a 256K-token context window. Tencent released model weights on Hugging Face, ModelScope, and GitCode under the custom Tencent Hy Community License Agreement, with the Tencent-Hunyuan GitHub repository hosting the project code, documentation, training pipeline, and license. Hosted access is available through Tencent Cloud TokenHub with tiered pricing starting at CNY 1.2/M input and CNY 4/M output for the 0–16K tier, plus a currently free Hy3 Preview route listed on OpenRouter.

What's New

Fast-and-Slow-Thinking Fused Architecture

Hy3 Preview ships a unified architecture that switches between rapid responses and deeper deliberate reasoning per query, rather than forcing users to manually toggle between a "fast" base model and a separate "thinking" reasoning variant — the path the previous Hunyuan generation took with TurboS as the fast base and the in-depth Hunyuan-T1 layered on top. The fused approach simplifies deployment for agent workflows that mix short tool calls with multi-step planning in a single conversation.

295B / 21B Active MoE with Sparse Expert Activation

The architecture uses a dense-MoE hybrid: 192 routed experts plus one always-active shared expert per MoE layer, across 80 transformer layers with 64 grouped-query attention heads. Sparse expert activation is designed to improve serving efficiency, with 21B active parameters per token versus 295B total. A 3.8B Multi-Token Prediction layer accelerates token generation without changing the underlying expert routing.

Compared with Hunyuan 2.0 (406B total / 32B active), Hy3 Preview is a smaller and more sparsely activated flagship — Tencent's framing positions it as the first deliverable from the rebuilt training stack rather than as a strict size upgrade.

Strong Coding and Agent Benchmark Results

Hy3 Preview targets reasoning, instruction following, coding, and agent tasks. Tencent's published numbers at launch:

  • SWE-bench Verified: 74.4
  • Terminal-Bench 2.0: 54.4
  • BrowseComp: 67.1
  • WideSearch: 70.2

These place Hy3 Preview within range of Claude Opus 4.6 (80.8 on SWE-bench Verified) and below GLM-5 (77.8) and Kimi K2.5 (76.8) on the same evaluation, while still being competitive given the substantially lower API cost.

Open-Weight Release Under Tencent Hy Community License

Model weights are distributed through Hugging Face (tencent/Hy3-preview), ModelScope, and GitCode, while GitHub (Tencent-Hunyuan/Hy3-preview) hosts the repository, documentation, training assets, and license. The license includes territory restrictions, a >100M monthly active user commercial-license trigger, and limits on using model outputs to improve other AI models. The release includes a complete training pipeline supporting both full fine-tuning and LoRA fine-tuning, with DeepSpeed ZeRO configurations and LLaMA-Factory integration.

First Model Under the Tencent HY Brand

Hunyuan was officially rebranded to Tencent HY in late 2025 to support clearer global positioning. Hy3 Preview is the first major model released under the new brand convention; earlier models continue to be referenced under their original Hunyuan names.

Performance Benchmarks

Benchmark Hy3 Preview Claude Opus 4.6 GLM-5 Kimi K2.5
SWE-bench Verified (coding agent) 74.4 80.8 77.8 76.8
Terminal-Bench 2.0 (agent shell tasks) 54.4
BrowseComp (search agent) 67.1
WideSearch (search agent breadth) 70.2
Total parameters 295B (MoE) Undisclosed Undisclosed 1T (MoE)
Active parameters 21B Undisclosed Undisclosed ~32B
Context window 256K 1M 1M 256K
Open weights Yes (custom license) No Partial Partial
Lowest reported input price Limited-time free routes where available, then CNY 1.2/M input ($0.17/M, FX-dependent) for 0–16K on Tencent Cloud TokenHub $5/M Varies Varies

Hy3 Preview's positioning is clearer when paired with the cost column: its published SWE-bench Verified score trails the listed competitors while TokenHub pricing starts substantially lower than closed frontier API pricing, with open weights for self-hosting.

Pricing & Plans

Hy3 Preview uses a freemium/open-weight access model: model weights are available for self-hosting, OpenRouter currently lists a free hosted route, and Tencent Cloud TokenHub provides paid API access with tiered token pricing.

Free Access

  • Hy3 Preview release page at hy.tencent.com; the official repository links Tencent AI Studio as the product site
  • Limited-time free hosted testing announced via OpenRouter
  • Open-weight access via Hugging Face, ModelScope, and GitCode for self-hosting, plus the Tencent-Hunyuan GitHub repository for deployment and training documentation

Tencent Cloud TokenHub API (tiered by input length)

Input length tier Input Output Cache hit
0–16K tokens CNY 1.2 / M tokens (~$0.17/M, FX-dependent) CNY 4 / M tokens (~$0.55/M, FX-dependent) CNY 0.4 / M tokens
16K–32K tokens CNY 1.6 / M tokens (~$0.22/M, FX-dependent) CNY 6.4 / M tokens (~$0.88/M, FX-dependent) CNY 0.6 / M tokens
32K+ tokens CNY 2 / M tokens (~$0.28/M, FX-dependent) CNY 8 / M tokens (~$1.10/M, FX-dependent) CNY 0.8 / M tokens

Pricing is set by Tencent Cloud TokenHub. Verify current rates, regional availability, and any active limited-time free routes on Tencent Cloud and OpenRouter before production deployment.

Best For

  • Cost-conscious teams building coding agents, search agents, and reasoning workloads who can tolerate "preview" stability for substantially lower per-token cost
  • ML engineers and researchers who want an open-weight 295B MoE reasoning model with a published training pipeline for fine-tuning experiments
  • Developers comparing Chinese frontier reasoning models — Hy3 Preview, GLM-5, Kimi K2.5 — to find the best fit for agentic workflows
  • Enterprises in supported Tencent Cloud regions standardizing on Tencent Cloud, after confirming license territory, API availability, and compliance requirements

FAQ

What is Hy3 Preview?

Hy3 Preview is Tencent's April 23, 2026 release of a 295B-parameter Mixture-of-Experts language model with 21B active parameters, a 3.8B MTP layer, and 256K context. It is the first major model under the Tencent HY brand and the first flagship trained on Tencent's rebuilt pre-training and reinforcement-learning stack.

How does Hy3 Preview compare to the previous Hunyuan flagship?

Hunyuan 2.0 (December 2025) used roughly 406B total parameters with 32B active. Hy3 Preview is smaller and more sparsely activated (295B / 21B active), framed by Tencent as the first deliverable from the rebuilt training infrastructure rather than a pure size upgrade. The architecture also fuses fast and slow thinking into a single model rather than splitting them across TurboS and Hunyuan-T1 as the previous generation did.

Is Hy3 Preview really open source?

Hy3 Preview is open-weight rather than OSI-standard open source. Weights are available on Hugging Face, ModelScope, and GitCode under the custom Tencent Hy Community License Agreement; the Tencent-Hunyuan GitHub repository provides project code, deployment guidance, training documentation, and license files. The license includes territory restrictions, a >100M MAU commercial-license trigger, and limits on using model outputs to improve other AI models.

How can I try Hy3 Preview for free?

Tencent has announced a limited-time free hosted period on Tencent Cloud and limited-time free hosted access via OpenRouter. The Hy3 Preview release page is at hy.tencent.com, and the official repository links Tencent AI Studio as the product site. You can also download weights from Hugging Face at tencent/Hy3-preview for self-hosting.

What does Hy3 Preview cost on Tencent Cloud after the free period?

Tencent Cloud CN / TokenHub lists tiered pricing: CNY 1.2/M input and CNY 4/M output for 0–16K inputs, CNY 1.6/M input and CNY 6.4/M output for 16K–32K inputs, and CNY 2/M input and CNY 8/M output for 32K+ inputs (roughly $0.17–$0.28/M input, FX-dependent). Confirm current rates and regional availability directly on Tencent Cloud before production use.

How does Hy3 Preview compare to Claude Opus 4.6 on coding?

On SWE-bench Verified, Hy3 Preview scores 74.4 versus Claude Opus 4.6's 80.8 — a 6-point gap. The trade-off is API cost: Hy3 Preview's post-free Tencent Cloud price is roughly $0.28/M input versus $5/M for Claude Opus 4.6, and Hy3 Preview is open-weight while Claude is closed.

Version History

Hy3

Released on July 6, 2026

View Update
+What's new
3 updates
  • Improve production reliability and cost efficiency over Hy3 Preview while retaining a 295B MoE architecture with 21B active parameters and 256K context
  • Deploy Hy3 across Tencent products and Tencent Cloud TokenHub, moving developers from a preview checkpoint to an official current release
  • Combine fast and slow thinking for code, reasoning, long-context, and agent tasks in one open-weight model

Hy3 Preview

Current Version

Released on April 23, 2026

+What's new
3 updates
  • Run Hy3 Preview as Tencent's current open flagship LLM, using a 295B-parameter MoE model with 21B active parameters and an added 3.8B MTP layer for faster generation
  • Analyze long codebases, documents and agent sessions with up to 256K tokens of context, supported by 80 transformer layers and grouped-query attention
  • Switch between quick answers and deeper reasoning per task, with reported results of 74.4 on SWE-bench Verified, 54.4 on Terminal-Bench 2.0 and 67.1 on BrowseComp

Hunyuan 2.0

Released on December 5, 2025

+What's new
2 updates
  • Access HY 2.0 in Yuanbao, ima and Tencent Cloud APIs with 406B total parameters, 32B active MoE, 256K context, and stronger reasoning, coding and instruction following
  • Mark the international naming shift from Tencent Hunyuan to Tencent HY, while keeping Hunyuan as the technical family name used in repositories, APIs and earlier documentation

Hunyuan Compact Series (0.5B / 1.8B / 4B / 7B)

Released on July 30, 2025

+What's new
2 updates
  • Deploy compact Hunyuan models in 0.5B, 1.8B, 4B and 7B sizes, with Pretrain and Instruct checkpoints available on Hugging Face for local and edge use
  • Fine-tune smaller Hunyuan models for consumer GPUs, PCs, mobile and embedded environments, while retaining long-context, hybrid-reasoning and agent-oriented capabilities

Hunyuan-A13B

Released on June 25, 2025

+What's new
2 updates
  • Run Hunyuan-A13B as an open MoE model with 80B total parameters, 13B active parameters and 256K context for efficient reasoning, coding and agent workloads
  • Switch between fast and slow thinking modes in a smaller open model, giving developers a lower-cost bridge between T1-style reasoning and later compact dense releases

Hunyuan-T1 (Official)

Released on March 21, 2025

+What's new
2 updates
  • Use Hunyuan-T1 as the official deep-reasoning model built on TurboS, improving complex math, logic, science and coding tasks over the earlier preview version
  • Access T1 through Tencent Cloud and Tencent Yuanbao for long-context reasoning workflows, rather than relying only on the earlier Yuanbao preview experience

Hunyuan TurboS

Released on February 27, 2025

+What's new
3 updates
  • Use Hunyuan TurboS for fast-answer workloads that need lower latency, with public claims of doubled output speed and 44% lower first-token latency versus the prior generation
  • Run long-context and reasoning workloads on the Hybrid-Transformer-Mamba MoE base that later powered Hunyuan-T1, while reducing sequence-processing overhead
  • Build on the TurboS base for adaptive fast and slow reasoning, choosing quicker replies for simple prompts and deeper reasoning for complex tasks

Hunyuan T1-Preview

Released on February 17, 2025

+What's new
2 updates
  • Try Hunyuan T1-Preview in Tencent Yuanbao as Hunyuan's first consumer-facing deep-reasoning model before the official T1 release
  • Test early reasoning behavior on math, coding and complex problem-solving tasks, giving Tencent feedback before the TurboS-based official version arrived in March 2025

Hunyuan-Large (389B MoE)

Released on November 5, 2024

+What's new
3 updates
  • Open-source the largest Transformer-based MoE LLM at the time — 389B total parameters with 52B active parameters and 256K context — under the Tencent Hunyuan Community License Agreement
  • Download Pretrain, Instruct and Instruct-FP8 checkpoints with the technical report, covering math, code, multilingual and long-context benchmark evaluations
  • Outperform Llama 3.1 70B and 405B on multiple academic benchmarks at launch, establishing Hunyuan-Large as a reference open MoE baseline for the research community

Hunyuan Turbo

Released on September 5, 2024

+What's new
3 updates
  • Launch the next-generation Hunyuan flagship at the Tencent Global Digital Ecosystem Summit as the first Hunyuan model to fully adopt a Mixture-of-Experts architecture for production serving
  • Double training efficiency, double inference throughput and cut inference cost by roughly 50% versus Hunyuan 1.0, with input and output API pricing reduced to half of the previous generation
  • Apply the Turbo service to language understanding, text generation, math and code tasks while relying on Tencent's published benchmark comparisons for quality claims

Hunyuan 1.0

Released on September 7, 2023

+What's new
3 updates
  • Access Tencent Hunyuan as Tencent's first proprietary foundation model on Tencent Cloud, launched with more than 100B parameters and over 2T pretraining tokens
  • Connect Hunyuan-backed capabilities across 50+ Tencent products at launch, including Tencent Cloud, Tencent Meeting, Tencent Docs, Weixin Search and QQ Browser
  • Open the model to enterprises in China for testing and app building through Tencent Cloud, marking Tencent's formal entry into the Chinese frontier LLM race

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