Skip to main content
Tool Chatbots freemium active Below 8
7.5/10 Useful
Active

Free (open weights) / Tencent Cloud API variable

Best plan

Free (open weights) / Tencent Cloud API variable

Watch out: For international buyers, check availability, language fit, data residency, compliance, license terms, API access path, and pricing currency before choosing Hunyuan

Try Hunyuan free

Editorial · no paid placements

The call

Hunyuan is Tencent's multi-surface open-weight AI family. The current 2026 anchors are HY-World 2.0 for editable 3D worlds, Hy3-preview for a 295B / 21B-active MoE LLM, and HY-OmniWeaving for unified video generation. The June 2 refresh confirms HY-World 2.0 image-to-3DWorld generation code is now released after the first April drop. Pick Hunyuan for open-source 3D, embodied AI, or strong-reasoning Chinese-stack workloads; skip for English consumer chat.

  • Buy if Game developers generating 3D scenes and assets from text
  • Pick Free (open weights) / Tencent Cloud API variable
  • Skip if English-first consumer chat (Qwen or GLM are more polished)

Evidence rail

Why this recommendation is trusted

Source
Registered source
Freshness
Aging
Confidence
Medium confidence
Verified
Review
Volatility
Volatile

Evidence is approaching its review window.

Build comparison
Watch out
For international buyers, check availability, language fit, data residency, compliance, license terms, API access path, and pricing currency before choosing Hunyuan.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility 8/10

    How much real work it can do for a competent operator, end to end.

  • Value 9/10

    What you get for the dollar relative to the closest alternative.

  • Moat 6/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity 7/10

    How likely the product is to still be best-in-class 24 months out.

Key facts

  1. Best For Best for China/Tencent-cloud teams evaluating Tencent Hunyuan models for text, image, video, and enterprise AI application workloads.
    high Drifts 2026-06-12 Tencent Cloud Hunyuan product
  2. Pricing Anchor Hunyuan pricing is cloud/API-model dependent; verify the current Tencent Cloud billing docs for each model family and context/output mode.
    high Volatile 2026-06-12 Tencent Cloud Hunyuan pricing docs
  3. Watch Out For For international buyers, check availability, language fit, data residency, compliance, license terms, API access path, and pricing currency before choosing Hunyuan.
    high Drifts 2026-06-12 Tencent Cloud Hunyuan product
  4. Api Available Tencent Cloud docs are the implementation source for authentication, endpoints, model lists, quotas, and regional/service constraints.
    high Drifts 2026-06-12 Tencent Cloud Hunyuan docs
  5. Model Catalog The Hunyuan public surface spans multiple model modalities, so recommendations should be specific to the target text/image/video model.
    high Volatile 2026-06-12 Tencent Hunyuan official site

Tencent’s open-weight AI model family. April 2026 was the family’s strongest month on record: HY-World 2.0 open-sourced 3D world generation (April 16), Hy3-preview (April 23) shipped a 295B MoE LLM that rivals Qwen3.6 and DeepSeek V3 on reasoning and coding, HY-OmniWeaving (April 3) consolidated eight video tasks behind a single HunyuanVideo-1.5 backbone, and HY-Embodied-0.5 extended the family into image-text-to-text embodied AI. By the June 2 refresh, HY-World 2.0’s image-to-3DWorld generation code was also released. Most weights ship on Hugging Face under permissive licenses; hosted API access runs through Tencent Cloud.

System Verdict

Pick Hunyuan if you need open-source 3D world generation, embodied AI, or a frontier-grade open MoE LLM. HY-World 2.0 remains category-leading among open-source options, with editable output that imports cleanly into Unity, Unreal Engine, and Isaac. Hy3-preview (April 23, 2026) is now genuinely competitive with Qwen3.6 Plus and DeepSeek V3 on agentic coding and STEM reasoning, with a 256K context and only 21B activated parameters per token. HY-OmniWeaving unifies eight video-generation tasks behind one model, narrowing the gap with closed-source video frontiers for self-hosted use.

Skip it if you want English-first consumer chat or production-grade commercial video output. Hy3-preview is a research-friendly weights drop; product polish still trails Qwen Chat and GLM for bilingual chat workflows. HY-OmniWeaving improves on HunyuanVideo but still trails Kling, Veo 3.1, and Runway Gen-4 on commercial output quality.

Where Hunyuan wins uniquely: Open-source 3D world generation plus open-weight frontier reasoning plus unified open video, all under one organization. For game developers, AR/VR teams, robotics researchers, simulation engineers, and open-source-first R&D labs, Hunyuan is now the default starting point.

Key Facts

Parent companyTencent (00700.HK)
Flagship LLM (June 2026)Hy3-preview · 295B MoE / 21B activated · 256K context · released April 23, 2026
Hy3-preview benchmarksSWE-bench Verified 74.4% · Terminal-Bench 2.0 54.4% · GPQA Diamond 87.2%
Hy3-preview architecture192 experts, top-8 activated, BF16, open-weights on Hugging Face / ModelScope / GitCode
Flagship 3D world modelHY-World 2.0 · released April 16, 2026 · open-source
HY-World 2.0 output3D Gaussian Splattings, editable meshes, point clouds; image-to-3DWorld generation code released
HY-World 2.0 imports toUnity, Unreal Engine, Nvidia Isaac
HY-World 2.0 architecture4-stage pipeline: HY-Pano 2.0, WorldNav, WorldStereo 2.0, WorldMirror 2.0
WorldMirror 2.0 size~1.2B parameters
HY-World 2.0 resolution50K to 500K pixels, flexible-resolution inference
Unified video modelHY-OmniWeaving · April 3, 2026 · 8 unified video tasks, built on HunyuanVideo-1.5
OmniWeaving featuresThinking Mode, Hidden States DeepStacking, MLLM + MMDiT + VAE architecture
Embodied AIHY-Embodied-0.5 · 4B params, image-text-to-text
Previous LLM familyHunyuan-Large (389B MoE), Hunyuan-Turbo, Hunyuan-Standard
3D asset modelHunyuan3D (text-to-3D asset generation)
Hosted APITencent Cloud Hunyuan API
Open-weight hubHugging Face tencent org (119 models, 400+ team members)

When to pick Hunyuan

  • Game developers generating 3D scenes. HY-World 2.0 outputs are engine-importable. Text or image input becomes a playable level in Unity or Unreal.
  • Robotics and simulation teams. Isaac import path plus open-source license makes this the default for training embodied agents in procedurally generated environments. HY-Embodied-0.5 adds a dedicated image-text-to-text model for the same audience.
  • AR and VR content pipelines. Gaussian Splatting output is first-class in modern XR workflows; meshes work for mobile AR and WebXR.
  • Open-weight agentic coding. Hy3-preview’s 74.4% SWE-bench Verified score puts it within reach of closed-source frontier LLMs while running fully open under permissive license terms.
  • Chinese-market LLM deployment. Hy3-preview and Hunyuan-Large are tuned for Chinese language quality and integrate natively with Tencent Cloud services popular in China.
  • Unified open-weight video pipelines. HY-OmniWeaving handles eight generation tasks in one model, useful for teams that want to self-host instead of paying per-clip on Kling or Veo 3.1.
  • Researchers working on world models or large MoE LLMs. Open code plus weights plus technical reports make HY-World 2.0 and Hy3-preview credible research baselines.

When to pick something else

  • Production video generation: Kling, Veo 3, Runway, Hailuo for commercial video output.
  • English-first chat: ChatGPT, Claude, Gemini, or Qwen for multilingual.
  • 3D character generation specifically: Rodin, Meshy, Tripo3D focus on single-asset 3D generation.
  • Closed-source world modeling at commercial grade: Marble (closed, similar capability to HY-World 2.0 but licensed).

Pricing

Hunyuan models are distributed primarily as open weights through Tencent Cloud is pay-as-you-go and varies by model.

SurfacePrice
Hy3-preview (open weights)Free · Hugging Face
HY-World 2.0 (open weights)Free · Hugging Face
HY-OmniWeaving (open weights)Free · Hugging Face
HY-Embodied-0.5 (open weights)Free · Hugging Face
Hunyuan-Large (open weights)Free · Hugging Face
HunyuanVideo (open weights)Free · Hugging Face
Hunyuan3D (open weights)Free · Hugging Face
Tencent Cloud hosted APIPay-as-you-go (see Tencent Cloud pricing)

Self-hosted runs under the respective license terms. Commercial use allowed on most releases; verify the specific license in each repo.

Recent developments

  • April 23, 2026: Hy3-preview released. 295B MoE / 21B activated with a 256K context and 192-expert top-8 routing. Benchmarks land at 74.4% on SWE-bench Verified, 54.4% on Terminal-Bench 2.0, and 87.2% on GPQA Diamond, putting it in the same conversation as Qwen3.6 Plus and DeepSeek V3 for open-weight agentic coding and STEM reasoning. Available on Hugging Face, ModelScope, and GitCode.
  • April 16, 2026: Tencent open-sources Hunyuan World 2.0 with editable 3DGS plus mesh output and Unity, Unreal, and Isaac import. Cross-reference Google’s Gemini 3D Models preview from April 10, which is closed-source and narrower in scope.
  • May 18, 2026: HY-World 2.0 image-to-3DWorld generation code was released, reducing the launch-time gap between paper/model-card claims and usable open-source implementation.
  • April 3, 2026: HY-OmniWeaving code and weights ship. Unified video model on the HunyuanVideo-1.5 backbone covering T2V, I2V, key-frames-to-video, reference-to-video, video editing, text-image-video-to-video, compositional multi-image-to-video, and reasoning-augmented generation.
  • Late March / April 2026: HY-Embodied-0.5 extends the family into embodied AI with a 4B image-text-to-text model targeting robotics and on-device perception.

Failure modes

  • Documentation lag in English. Primary docs are in Chinese first. English translations trail the original by days to weeks.
  • Hy3-preview is a research preview. Branded “preview” rather than a stable release; expect tokenizer, prompt-template, and serving-stack updates before a 1.0 cut.
  • Open-source release still needs repo-by-repo verification. HY-World 2.0 image-to-3DWorld code is now released, but teams should still check task-specific scripts, licenses, checkpoints, and dependency health before building a production pipeline.
  • Video generation still trails commercial frontier. HY-OmniWeaving is a meaningful jump over HunyuanVideo for open-weight users but does not match Kling, Veo 3.1, or Runway Gen-4 on commercial output quality.
  • Hosted API is Chinese-cloud. Enterprise buyers in regulated Western markets need to evaluate Tencent Cloud data residency posture. Self-hosting open weights is the workaround.
  • LLM product polish trails Qwen and DeepSeek. Hy3-preview narrows the gap on benchmarks but Qwen Chat and DeepSeek consumer apps remain easier first stops for non-developer users.
  • No equivalent to ChatGPT plugin marketplace. Hunyuan is model-first, not a product ecosystem.

Against the alternatives (3D world modeling)

HY-World 2.0Marble (closed)HunyuanWorld 1.0
LicenseOpen sourceClosedOpen source
Output3DGS + meshes (editable)SimilarVideo only
Engine importUnity, Unreal, IsaacProprietaryNo direct import
Resolution50K-500K pixelsSimilarN/A
Best forOpen-source game dev + roboticsEnterprise 3D workflowsWalkthrough video

Methodology

Produced by the aipedia.wiki editorial pipeline. Last verified 2026-06-12 against Tencent-Hunyuan/HY-World-2.0 GitHub, the Hugging Face tencent org, the Hy3-preview model card, the HY-OmniWeaving model card, and Tencent Cloud Hunyuan.

FAQ

What is HY-World 2.0? Tencent’s open-source 3D world model, released April 16, 2026. Generates editable 3D worlds (Gaussian Splattings + meshes) from text, images, or video inputs. Outputs import directly into Unity, Unreal Engine, and Nvidia Isaac. Architecture is a 4-stage pipeline: HY-Pano 2.0 → WorldNav → WorldStereo 2.0 → WorldMirror 2.0.

How is HY-World 2.0 different from 1.0? HY-World 1.0 (called WorldPlay + WorldCompass) generated pixel-level walkthrough videos of scenes. You got video frames, not reusable assets. HY-World 2.0 generates persistent, editable 3D assets you can open in a game engine and modify.

Is Hunyuan really free? Most model weights are open-source on Hugging Face under permissive licenses (check each repo for specific terms). Self-hosting is free. Tencent Cloud hosted API is pay-as-you-go.

Does Hunyuan have a consumer chat product? Tencent runs a Hunyuan chat surface at hunyuan.tencent.com, primarily for Chinese-market users. English coverage is limited compared to Qwen or DeepSeek.

How does Hunyuan-Large compare to Qwen3 or DeepSeek V3? Hunyuan-Large is a 389B MoE and is capable but trails Qwen3.6 Plus and DeepSeek V3 on most independent benchmarks. Hy3-preview (April 23, 2026) materially closes that gap with 74.4% on SWE-bench Verified and 87.2% on GPQA Diamond, putting it back in the open-weight frontier conversation. Hunyuan’s broader advantage is still the multi-modality family spanning LLMs, 3D world models, video, and embodied AI.

What is Hy3-preview? Tencent’s April 23, 2026 open-weight MoE LLM. 295B total parameters with 21B activated per token, 192 experts top-8 routing, 256K context, BF16 precision. Strong on STEM, agentic coding (74.4% SWE-bench Verified, 54.4% Terminal-Bench 2.0), and instruction following. Released on Hugging Face, ModelScope, and GitCode. Branded “preview” rather than a stable 1.0.

What is HY-OmniWeaving? A unified video generation model released April 3, 2026 on the HunyuanVideo-1.5 backbone. Handles eight tasks in a single model: text-to-video, image-to-video, key-frames-to-video, reference-to-video, video editing, text-image-video-to-video, compositional multi-image-to-video, and reasoning-augmented generation. Adds a “Thinking Mode” where an MLLM reasons over user intent before generation.

Sources

Reader reviews

Loading…
Share LinkedIn
Was this review helpful?
Embed this score on your site Free. Links back.
Hunyuan editorial score badge
<a href="https://aipedia.wiki/tools/hunyuan/" target="_blank" rel="noopener"><img src="https://aipedia.wiki/badges/hunyuan.svg" alt="Hunyuan on aipedia.wiki" width="260" height="72" /></a>
[![Hunyuan on aipedia.wiki](https://aipedia.wiki/badges/hunyuan.svg)](https://aipedia.wiki/tools/hunyuan/)

Badge value auto-updates if the editorial score changes. Attribution via the link is required.

Cite this page For journalists, researchers, and bloggers
According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/hunyuan/)
aipedia.wiki Editorial. (2026). Hunyuan: Editorial Review. aipedia.wiki. Retrieved June 22, 2026, from https://aipedia.wiki/tools/hunyuan/
aipedia.wiki Editorial. "Hunyuan: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/hunyuan/. Accessed June 22, 2026.
aipedia.wiki Editorial. 2026. "Hunyuan: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/hunyuan/.
@misc{hunyuan-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {Hunyuan: Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/hunyuan/}, note = {Accessed: 2026-06-22} }
Spotted an error or want to share your experience with Hunyuan?

Every tool page is re-verified on a recurring cycle, and corrections land faster when readers flag them directly. If you spot a stale fact, a missing capability, or have used Hunyuan and want to share what worked or didn't, the editorial desk reviews every message sent through this form.

Email editorial@aipedia.wiki
Report outdated info Help us keep this page accurate