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  4. Hy3 preview
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.

Visit TencentAnnouncement
Inputs
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Outputs
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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

34.4%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science86.7%
Humanity's Last Exam27.8%
SciCode - Scientific Coding41.2%
Instruction Following63.1%
Long Context Reasoning60.3%
τ²-Bench - Agentic Tasks92.7%
TerminalBench - System Control34.1%
Specs
Context window
262Ktokens
Input pricing
$0.06per 1M tokens
Output pricing
$0.21per 1M tokens
Cached input
$0.02per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderTencentAnthropicAnthropic
Release DateApril 23, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.06
Best Input Pricing
$5$10
Output Pricing
$0.21
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index26.6
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Hy3 preview
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

73%
Hy3 preview
GPQA Benchmark
Score: 73%
Hy3 preview
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
Hy3 preview
Humanity's Last Exam
Score: 7%
Hy3 preview
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

39%
Hy3 preview
Long Context Reasoning
Score: 39%
Hy3 preview
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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