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LLM Tencent China

Tencent Hunyuan (Hy3)

Tencent Hy3 - open-source MoE model with 295B parameters (21B active), 256K context and an Apache 2.0 licence without EU restrictions. An efficiency alternative to DeepSeek and GLM for self-hosting.

License Apache 2.0 (full release since 6 July 2026; the preview licence excluded the EU)
GDPR Hosting Available
Context 256000 Tokens
Modality Text, Code → Text, Code

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
Hy3 Recommended
6 July 2026
MoE architecture: 295B total, only 21B active parameters (192 experts, top-8) 256K token context Hybrid fast/slow thinking (toggleable reasoning) Multi-token prediction layer for faster decoding Apache 2.0 – the most permissive licence among the large Chinese models Strong benchmarks: GPQA Diamond 90.4, SWE-bench Verified 78% Inexpensive API (~$0.18 input / $0.59 output per 1M tokens via Tencent Cloud)
Coding behind GLM-5.2, Claude Opus 4.8 and GPT-5.5 Multimodality (vision) and knowledge cutoff not documented API runs via Tencent Cloud (China) – for EU companies only self-hosting is advisable
Current
Hy3-FP8
6 July 2026
FP8-quantised variant for efficient self-hosting Reduced memory footprint at near-identical quality
Quantisation can cost quality in edge cases
Current
Hy3-Preview
23 April 2026
Technical predecessor of the full release
Licence with territorial restrictions (no EU use) Superseded by the Apache 2.0 full release
Deprecated

Use Cases

Typical applications for this model

Self-hosting in your own cloud
Cost-efficient reasoning workloads
Agentic workflows
Research and analysis (strong on BrowseComp)
Open-source research

Technical Details

API, features and capabilities

API & Availability
Availability Public (Tencent Cloud TokenHub, OpenRouter); weights on Hugging Face and ModelScope
Features & Capabilities
Tool Use Function Calling Structured Output Reasoning Mode
Training & Knowledge
Knowledge Cutoff not documented
Fine-Tuning Available (LoRA, Full)
Language Support
Best Quality Chinese, English
Supported multilingual
Best quality in Chinese and English

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
Self-Hosted
Own infrastructure / own cloud (e.g. STACKIT, Azure, AWS)
Open weights under Apache 2.0 – full data sovereignty when self-operated
License & Hosting
License Apache 2.0 (full release since 6 July 2026; the preview licence excluded the EU)
Security Filters Customisable (open weights)
On-Premise

Benchmarks

Performance comparison with standardized tests

GPQA Diamond
90.4
SWE-bench Verified
78
SWE-bench Pro
57.9
BrowseComp
84.2

Tencent Hy3 is the third generation of the Hunyuan model family and has been available as a full release since July 6, 2026 – for the first time under a genuine Apache 2.0 licence without territorial restrictions. That is the real news for European companies: the April preview’s licence still explicitly excluded use in the EU, the UK and South Korea; the final release lifts this restriction.

Architecture: Efficiency over Size

Hy3 is a mixture-of-experts model with 295 billion total and only 21 billion active parameters (192 experts, 8 active per token). Add a 256K token context window, an additional multi-token prediction layer for faster decoding, and a hybrid fast/slow thinking design that toggles between quick replies and deep reasoning. Besides the standard version, an FP8-quantised variant is available for efficient self-hosting.

The positioning is clear: Hy3 is the efficiency play among Chinese open-source models – considerably smaller than DeepSeek V4-Pro (1.6 trillion parameters) and GLM-5.2 (744 billion), with competitive results in most disciplines except coding.

Benchmarks

According to Tencent and independent evaluations, Hy3 achieves, among others, 90.4 on GPQA Diamond, 78% on SWE-bench Verified, 57.9% on SWE-bench Pro and 84.2 on BrowseComp. On demanding maths (MathArena Apex: 38.7 vs. 85.4 for GPT-5.5) and in coding, the model trails the Western flagships and GLM-5.2. For the model size – only 21B active parameters – the results are remarkable.

Availability and Cost

The weights are available on Hugging Face and ModelScope; as an API, Hy3 is offered via Tencent Cloud’s TokenHub (~$0.18 input / $0.59 output per 1M tokens) and via OpenRouter. Within Tencent’s own ecosystem, Hy3 powers the WeChat assistant, Yuanbao and CodeBuddy, among others.

GDPR and Data Sovereignty: Self-Hosting Yes, China API with Caution

For European companies, the same logic applies as with DeepSeek and Qwen: Hy3 is interesting above all as an open-weights model for self-operation. Under Apache 2.0 it can be hosted in your own cloud environment – on STACKIT, Azure or AWS, for example – meaning no data flows to the vendor and full data sovereignty is maintained. The API via Tencent Cloud, by contrast, means processing by a Chinese provider and should be assessed critically from a GDPR perspective for personal or confidential data.

When reviewing the licence, mind the version: only the full release of July 6, 2026 is under Apache 2.0 – anyone still using artifacts of the April preview operates under the old community licence with its EU exclusion.

Positioning Among Chinese Models

ModelSize (active)LicenceDistinctive feature
Tencent Hy3295B (21B)Apache 2.0Efficiency, most permissive licence
DeepSeek V41.6T (Pro)MITReasoning leader among open models
GLM-5.2744BMITCoding strength
Qwen 3.7API-only (Max)proprietary (Max)Alibaba ecosystem

Integration with CompanyGPT

As an open-weights model, Hy3 – like Llama, Qwen or GptOSS – can be integrated into a self-hosted platform such as CompanyGPT and operated GDPR-compliantly in your own cloud. For most enterprise use cases in the DACH region, we continue to recommend the established frontier models via EU endpoints; Hy3 is an exciting option for cost-efficient, sovereignly hosted workloads.

For individual consulting on the right model strategy, contact innFactory AI Consulting.

Cost estimation for this model

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