Tencent
Released April 23, 2026

Hy3 preview

Hy3 preview by Tencent is an open-sourced MoE model with 295B total parameters, 21B active, 256K context, and three reasoning modes for agents.

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Model Overview

Capabilities, design details, and architectural traits

Hy3 preview - Open-sourced agentic MoE

Hy3 preview is Tencent’s open-sourced flagship model in the Hy series, positioned for real-world agent workflows with long-context understanding and fast-and-slow thinking.

Defining Characteristics

  • Mixture-of-Experts architecture: Tencent describes Hy3 preview as a MoE model with 295B total parameters and 21B activated parameters per token.
  • 256K token context window: Official Tencent documentation states support for up to a 256K token context window.
  • Three inference modes: Public listings mention configurable reasoning levels such as disabled/no_think, low, and high to balance speed and depth.
  • Agent-oriented workflow support: Tencent says the model is designed for agent capabilities, complex workflows, and MCP toolchain orchestration.

Core Design

  • Tencent highlights a fast-and-slow thinking fusion design and substantial improvements in inference efficiency compared with earlier infrastructure.
  • The model is open-sourced and made available on GitHub, Hugging Face, ModelScope, and GitCode, with support for vLLM and SGLang deployment.

Deployment

  • Hy3 preview is integrated into Tencent products such as Yuanbao, ima, CodeBuddy, WorkBuddy, QQ, QQ Browser, Tencent Docs, and Tencent LearnShare.
  • Tencent Cloud TokenHub and OpenRouter both list the model, with limited-period free access reported on limited-period free access reported on OpenRouter.

Benchmark Performance

Independent evaluations · Artificial Analysis

22.7%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science86.7%
Humanity's Last Exam27.8%
SciCode - Scientific Coding41.2%
Instruction Following63.1%
Long Context Reasoning64.7%
τ²-Bench - Agentic Tasks92.7%
TerminalBench - System Control34.1%

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Model Details
General Info
ProviderTencentAnthropicAnthropic
Release DateApril 23, 2026September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.06
Best Input Pricing
$4$2
Output Pricing
$0.21
Best Output Pricing
$20$10
Modalities
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Benchmarks (0-100)
Intelligence Index17.0
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Hy3 preview
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
Hy3 preview
Humanity's Last Exam
Score: 7%
Hy3 preview
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

42%
Hy3 preview
Long Context Reasoning
Score: 42%
Hy3 preview
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

39%
Hy3 preview
SciCode Benchmark
Score: 39%
Hy3 preview
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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