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Model details

Hy4 preview

Tencent Hy4 preview is a large mixture-of-experts language model that activates 49B of its 770B total parameters per request, paired with a context window exceeding one million tokens that enables very long document, codebase, or transcript handling without external retrieval tricks. Tencent describes the release as a major step up in model size, context length, and training data volume over its predecessor, with the model co-designed alongside Tencent's own productivity products so that feedback from real coding and office workflows informed the training and post-training process. The same Hunyuan lineage that produced earlier Hy generations therefore underpins both the architectural choices and the practical emphasis on day-to-day knowledge work rather than purely academic benchmarks.

Independent leaderboards place Hy4 preview near the top of the open-weight field, sitting 11th overall on the LLM Stats composite score and landing in the top ten percent for tool calling, reasoning, and coding, while long-context behavior is described as average and specialized domains like legal and finance remain weaker relative to peers. Tencent highlights strong results on economically valuable knowledge-work tasks such as GDPval and expert-level graduate questions like GPQA Diamond, alongside its internal blind evaluation with 163 domain experts, reinforcing a positioning aimed at developers, analysts, and researchers who need a self-hostable model for substantial coding sessions, document-heavy analysis, or scientific writing with iterative tool use.

OpenRoutertencent/hy4-previewHy

Quick Info

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Provider
OpenRouter
Model key
tencent/hy4-preview
Release date
Aug 28, 2026
Last updated
Aug 28, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.7506
Output token cost
$2.2509

Limits

Output tokens
64,000 tokens
Context window
1,048,576 tokens

Transparent token rates

Compare Hy4 preview pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Hy4 preview

OpenRouter

CoveragePreview

IntuitionLabs published a detailed analysis on September 5, 2026 of Tencent's Hy4 preview release, confirming the Mixture-of-Experts design with 770 billion total parameters and 49 billion activated per token, released under Apache License 2.0 on August 28, 2026. The article notes that weights are published in two form The IntuitionLabs piece explicitly cautions that Tencent's blind comparative evaluation was conducted internally, with detailed results and methodological limitations appearing in the analysis's "Evaluation Methodology and Limitations" section. According to the report, these caveats do not invalidate Hy4 preview's publ

Hugging Face

CoveragePreview

Wavect's review, checked on September 2, 2026, restates that Tencent released Hy4 preview on August 28, 2026 with 770B backbone parameters, 49B active parameters per token, and a context window above one million tokens, with access routes via WorkBuddy, CodeBuddy, Tencent Cloud TokenHub, and OpenRouter, and two weeks o The review recommends a controlled coding-agent pilot for teams limited by long context, multi-step tool use, or repeated repository retrieval, while cautioning that self-hosting the 770B model is a datacenter-scale project and that Tencent labels this an early version that can reason and verify longer than necessary.

Hugging Face

CoveragePreview

AI Profit Boardroom confirms Tencent open-sourced Hy4 preview on August 28, 2026 as a Hunyuan-family model with 770B total parameters, 49B active per token, and a context window beyond one million tokens, with two weeks of free access inside WorkBuddy and CodeBuddy at launch. The piece describes the MoE design as delivering frontier-scale capability at compute cost closer to a mid-sized model, enabling entire codebases or multi-day agent sessions within a single context, and positions productivity targets as coding, office tasks, data analysis, game development, and scientific research.

Hugging Face

CoverageBenchmark

Developers Digest, verified against the model card on August 31, 2026, characterizes Hy4 preview as a 770B-total/49B-active text-only MoE with a 1M-token context window, Apache 2.0 license, and weights distributed on Hugging Face, ModelScope, GitCode, and CNB. It notes a 2.6x increase in total parameters and context le The review reports benchmark scores of Terminal-Bench 85.4 and DeepSWE 64.3, and lists DeepSeek-style sparse attention with IndexCache and the iHC residual pathway among the architectural details drawn from the model card.

Hugging Face

CoveragePreview

Emergent.sh reports that Tencent launched Hy4 preview under the Apache 2.0 open-source license on August 28, 2026, positioning the model as an early-access preview that lets developers and researchers test capabilities and provide feedback before a full production release. The Apache 2.0 license is described as permitt The article frames Hy4 preview within Tencent's broader AI model portfolio alongside the Hunyuan series and specialized computer vision, NLP, and multimodal models, noting Tencent's accelerated 2026 AI development competing with domestic rivals Alibaba, Baidu, and ByteDance as well as international foundation-model pla

OpenRouter

CoveragePreview

Tencent open-sourced Hy4 preview on August 28, 2026 as a 770B-parameter MoE model that activates only 49B parameters per token, with a context window past 1 million tokens and Apache 2.0 licensing. The miraflow.ai explainer highlights that Hy4 preview was used during its own development to help automate optimization of The same post situates Hy4 within the Hunyuan lineage, noting Tencent confirmed during its Q2 2026 earnings presentation on August 12, 2026 that it was training Hy4 as the next flagship. It walks through the MoE architecture and posts benchmark comparisons against GLM-5.3, Kimi K3, and DeepSeek V4 Pro, with runnable co

Kilo Gateway

CoveragePreview

The Hugging Face model card for tencent/Hy4-preview is the first-party technical reference for the exact subject. It documents Hy4 preview as a Mixture-of-Experts flagship from the Tencent Hy Team with 770B total parameters and 49B activated per token, a 78-layer backbone where the first layer is a standard dense FFN a Because the page is the official model card, headline framing should be restricted to facts the excerpt itself states: Hy4 preview is a 770B/49B MoE with 1M context under Apache 2.0, using Gated DSA + IndexCache and iHC residuals with native MTP, and deployment recipes exist for vLLM and SGLang. Any specific benchmark

Hugging Face

CoverageRelease Notes

Tencent's official release confirms that Tencent Hy4 preview was released and open-sourced on August 28, 2026, as a next-generation large language model with 770B total parameters, 49B active parameters, and a context window exceeding 1M tokens, positioned for productivity tasks across coding, office work, and scientif The announcement reports access via WorkBuddy, CodeBuddy, Yuanbao, ima, Tencent Cloud TokenHub, and OpenRouter, with two weeks of free access on WorkBuddy and CodeBuddy at launch. In Tencent's internal blind evaluation with 163 experts across 203 engineering tasks, Hy4 preview scored 2.99/4.00, slightly ahead of GLM-5.

Kilo Gateway

CoverageBenchmark

MyClaw's August 28, 2026 overview of Hy4 Preview restates the architecture as a 770B-total / 49B-active MoE with a 1M-token context window, a 78-layer backbone using 256 routed experts plus a shared expert, eight routed experts active per token, and a native multi-token prediction layer for speculative decoding. It fra The same post surfaces a vendor-acknowledged caveat that is genuinely useful for Hy4-preview adopters: Tencent warns the model can spend too long reasoning and over-verifying its work, and the article notes that independent reliability evidence is limited on release day. Because MyClaw's piece also doubles as a directo

OpenRouter

CoveragePreview

BigGo Finance reported on August 28, 2026 that Tencent Hunyuan officially released and open-sourced its next-generation flagship large language model, Hy4 preview, with 770 billion total parameters, 49 billion active parameters, and a 1 million token context length. According to the report, Hy4 preview achieved a gener The article reports that Hy4 preview is priced at 6 yuan per million input tokens and 18 yuan per million output tokens, and is available on Tencent Cloud TokenHub and OpenRouter. It also notes that Hy4 preview represents a more-than-doubling of total parameters compared to the previous-generation Hy3's 295 billion, wi

OpenRouter

CoveragePreview

The aireiter.com pricing breakdown lists Tencent Cloud TokenHub rates for Hy4 preview at CNY 6 per million input tokens, CNY 18 per million output tokens, and CNY 0.30 per million cached-input tokens, with the official price page updated August 28, 2026. On OpenRouter, the same meters are quoted at $0.834 input, $2.501 For a sample request of 100,000 input tokens and 10,000 output tokens, the post calculates CNY 0.60 input plus CNY 0.18 output for CNY 0.78 total at Tencent's rates, dropping to about CNY 0.21 if the input is a cache hit. The equivalent on OpenRouter's displayed prices is $0.10841 without caching and $0.02921 with the

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