Is Tencent Hy3 available with Zero Data Retention on Elosia?

Tencent Hy3 runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Tencent Hy3 cost on Elosia?

Tencent Hy3 is billed by usage at $0.13199999999999998 per 1M input tokens and $0.5279999999999999 per 1M output tokens, within your Elosia plan.

What is Tencent Hy3's context window?

Tencent Hy3 supports a context window of up to 262,144 tokens.

Is Tencent Hy3 hosted in the EU?

Tencent Hy3 is not available on Elosia's EU-hosted (EdenAI) backend; it runs on the default backend.

When should you choose Tencent Hy3?

Tencent Hy3 is a balanced model: a strong quality/cost trade-off for everyday production work.

Tencent Hy3

TencentBalanced

ThinkingTool UseStructured Output

About this model

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

Performance Tier

Balanced

Tencent Hy3 is a balanced model from Tencent : strong performance at a reasonable price.

Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.

Pricing

This model is included in Elosia plans

Affordable

Low cost. Suitable for sustained use and high-volume interactions.

Type	per 1M tokens
Input (prompt)	$0.132
Output (completion)	$0.528
Cache read	$0.033

Capabilities

Context Length262K

Max Output Tokens128K

TokenizerOther

Inputtext

Outputtext

Release DateJuly 6, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

90.4%

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

SWE-bench Verified

78%

SWE-bench Multilingual

75.8%

Reasoning

Humanity's Last Exam

37%

Agentic

SWE-bench Pro

57.9%

Terminal-Bench 2.1

71.7%

Where does Tencent Hy3 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingResearchAnalysisGeneral Chat

Strengths

Sparse mixture of experts: 192 experts with top-8 routing over 80 layers, so each token engages only a small share of the network
Agentic search is an explicit evaluation axis, with multi-step browsing and deep-search suites reported next to the coding and reasoning ones
Genuine openness: Apache 2.0 weights plus a published FP8 build, documented vLLM and SGLang deployment, and only 21B active parameters out of 295B, which keeps the per-token compute low
Tool calling through a dedicated hy_v3 parser, on a 262K-token context window with up to 128K of output

Limitations

Weak factual coverage: faced with a question it does not master, it invents more often than it abstains, which tempers the anti-hallucination claim of the model card
Competition mathematics is the soft axis, in Tencent's own table, well behind its scientific reasoning. Text only, no multimodality