一对一对比

Wan vs HunyuanVideo

Wan is the broader open ecosystem pick; HunyuanVideo is a major Tencent open baseline with lighter 1.5 deployment and I2V speed work.

Provisional recommendation

快速建议

Most ordinary users should start with Wan when they want the safer overall pick from the current evidence. Pick HunyuanVideo instead when its winning scenarios below match your workflow better.

选择 Wan 的情况

  • generation quality原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it.证据 pending: needs live pricing, benchmark, or product documentation source.
  • reference control原因: Wan has stronger reference control evidence from product features, workflow tags, or access data.证据: github.com, github.com
  • version maturity原因: Wan has the newer tracked version event in the local version dataset.证据: artificialanalysis.ai, krea.ai, github.com
  • external ratings / leaderboard原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it.证据 pending: needs live pricing, benchmark, or product documentation source.

选择 HunyuanVideo 的情况

  • HunyuanVideo is a scenario pick证据 pending: this page does not have enough source-backed 的优势 to recommend it broadly.

购买前仍需确认的证据

  • speed / delivery: Speed evidence pending; measure current queue time and generation latency before naming a winner.
  • motion realism: Benchmark evidence pending; use current leaderboard or controlled tests.
  • prompt adherence: Prompt adherence needs benchmark evidence or side-by-side testing.
  • commercial use: Commercial use depends on current product terms, regional plans, and license language; verify live terms before recommending a winner.

Wan 概览

Alibaba's open and commercial video model family, with strong community adoption and variants for text, image, speech, and animation-driven video.

公司: Alibaba Group

模型 page: Wan details

当前分数: 87 Wan appears in Artificial Analysis and Arena snapshots, and the open repository/paper provide reproducible public evidence.

适合场景

  • Open-权重 Benchmarking
  • 开发者 工作流
  • Image-To-Video
  • Animation And Character Replacement
  • Speech-To-Video Experiments

HunyuanVideo 概览

Tencent's open-weight video generation family, important for developers, researchers, and self-hosted benchmarking.

公司: Tencent

模型 page: HunyuanVideo details

当前分数: 84 HunyuanVideo is tracked by public leaderboards and has strong open-weight repository evidence, but current frontier placement needs live collection.

适合场景

  • Open-权重 Testing
  • 开发者 Experiments
  • Self-Hosted Video Generation
  • Avatar And I2V Research

优势总结

Every dimension below names an advantage, a reason, evidence status, and the user type it matters for. 证据 pending means the page needs live pricing, leaderboard, benchmark, or product-term verification before naming a winner.

Wan 的优势

  • Wan advantagegeneration quality原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it.证据 pending: needs live pricing, benchmark, or product documentation source.Best for: Teams optimizing final visual quality

    No public source link is attached yet.

  • Wan advantagereference control原因: Wan has stronger reference control evidence from product features, workflow tags, or access data.证据: github.com, github.comBest for: Brand/product references and character consistency
  • Wan advantageversion maturity原因: Wan has the newer tracked version event in the local version dataset.证据: artificialanalysis.ai, krea.ai, github.comBest for: Teams choosing stable current products
  • Wan advantageexternal ratings / leaderboard原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it.证据 pending: needs live pricing, benchmark, or product documentation source.Best for: Buyers who want market validation

    No public source link is attached yet.

HunyuanVideo 的优势

  • No clear HunyuanVideo 的优势 yet原因: current evidence does not justify naming a winner.

持平或视情况而定

  • 持平或视情况而定price / cost原因: Both products have usable pricing/access evidence, but real cost still depends on duration, resolution, region, and plan.证据: github.com, wan.video, github.comBest for: Budget-sensitive teams and API buyers
  • 持平或视情况而定access / availability原因: Both products have comparable access evidence in the local dataset; the real winner depends on country, account status, API route, and plan limits.证据: wan.video, aivideo.hunyuan.tencent.com, github.comBest for: Ordinary users who need the product to work today
  • 持平或视情况而定feature depth原因: Feature coverage is close in the current profiles, so choose by the specific workflow rather than raw feature count.证据: github.com, arxiv.org, github.comBest for: Creators choosing by workflow breadth instead / one demo
  • 证据 pendingspeed / delivery原因: Speed evidence pending; measure current queue time and generation latency before naming a winner.证据 pending: needs live pricing, benchmark, or product documentation source.Best for: Users who need faster iteration or production throughput

    No public source link is attached yet.

  • 证据 pendingmotion realism原因: Benchmark evidence pending; use current leaderboard or controlled tests.证据 pending: needs live pricing, benchmark, or product documentation source.Best for: Ads, action shots, camera moves, and physical scenes

    No public source link is attached yet.

  • 证据 pendingprompt adherence原因: Prompt adherence needs benchmark evidence or side-by-side testing.证据 pending: needs live pricing, benchmark, or product documentation source.Best for: Prompt-heavy storyboards and precise scene requests

    No public source link is attached yet.

  • 持平或视情况而定subject consistency原因: Both products have comparable subject consistency evidence or the difference depends on workflow depth.证据: github.com, github.comBest for: Character, product, and object continuity work
  • 持平或视情况而定camera control原因: Both products have comparable camera control evidence or the difference depends on workflow depth.证据: github.com, github.comBest for: Directors who need repeatable camera language

Advantage By 维度

This is the decision layer: not just yes/no support, but who leads, why they lead, what evidence backs it, and who should care.

维度优势 / 胜出方原因证据适合用途
price / cost 持平或视情况而定 原因: Both products have usable pricing/access evidence, but real cost still depends on duration, resolution, region, and plan. 证据: github.com, wan.video, github.com Budget-sensitive teams and API buyers
access / availability 持平或视情况而定 原因: Both products have comparable access evidence in the local dataset; the real winner depends on country, account status, API route, and plan limits. 证据: wan.video, aivideo.hunyuan.tencent.com, github.com Ordinary users who need the product to work today
feature depth 持平或视情况而定 原因: Feature coverage is close in the current profiles, so choose by the specific workflow rather than raw feature count. 证据: github.com, arxiv.org, github.com Creators choosing by workflow breadth instead / one demo
generation quality Wan advantage 原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Teams optimizing final visual quality
speed / delivery 证据 pending 原因: Speed evidence pending; measure current queue time and generation latency before naming a winner. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Users who need faster iteration or production throughput
motion realism 证据 pending 原因: Benchmark evidence pending; use current leaderboard or controlled tests. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Ads, action shots, camera moves, and physical scenes
prompt adherence 证据 pending 原因: Prompt adherence needs benchmark evidence or side-by-side testing. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Prompt-heavy storyboards and precise scene requests
subject consistency 持平或视情况而定 原因: Both products have comparable subject consistency evidence or the difference depends on workflow depth. 证据: github.com, github.com Character, product, and object continuity work
camera control 持平或视情况而定 原因: Both products have comparable camera control evidence or the difference depends on workflow depth. 证据: github.com, github.com Directors who need repeatable camera language
reference control Wan advantage 原因: Wan has stronger reference control evidence from product features, workflow tags, or access data. 证据: github.com, github.com Brand/product references and character consistency
native audio 持平或视情况而定 原因: Both products have comparable native audio evidence or the difference depends on workflow depth. 证据: github.com, github.com Dialogue, sound effects, music, and audio-video sync
editing / extension 持平或视情况而定 原因: Both products have comparable editing or extension workflow evidence or the difference depends on workflow depth. 证据: github.com, github.com Iterative editors and production teams
API / developer availability 持平或视情况而定 原因: Both products have comparable API availability evidence or the difference depends on workflow depth. 证据: github.com, github.com 开发者s, automation builders, and product teams
commercial use 证据 pending 原因: Commercial use depends on current product terms, regional plans, and license language; verify live terms before recommending a winner. 证据: github.com, github.com, github.com Brands, agencies, and revenue-generating projects
open / closed source 持平或视情况而定 原因: Both products have similar open/closed-source posture in the current dataset (Wan: open_weights, HunyuanVideo: open_weights). 证据: github.com, github.com, github.com Researchers, self-hosters, and teams needing model control
version maturity Wan advantage 原因: Wan has the newer tracked version event in the local version dataset. 证据: artificialanalysis.ai, krea.ai, github.com Teams choosing stable current products
external ratings / leaderboard Wan advantage 原因: Wan leads the current fallback scoring signal; treat this as provisional unless scoring JSON backs it. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Buyers who want market validation
SEO / popularity / web authority 证据 pending 原因: SEO, popularity, and authority metrics need richer imports before naming a winner. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Teams using adoption and discoverability as risk signals
open-source GitHub metrics 证据 pending 原因: GitHub metrics only apply when a model has open-source or open-weight repositories; neither side has enough repo evidence here. 证据 pending: needs live pricing, benchmark, or product documentation source.

No public source link is attached yet.

Open-model evaluators and infra teams
company background 持平或视情况而定 原因: Both companies have usable profile evidence; brand strength alone should not decide the product choice. 证据: home.alibabagroup.com, tencent.com, github.com Users who care about product longevity, distribution, and support risk

Feature 维度 Comparison

Supported values are source-backed where product detail records include source URLs; inferred values are marked.

维度WanHunyuanVideo
text-to-videoSupported

Supported

image-to-videoSupported

Supported

video-to-videoPartial

Animate/replacement workflows use video inputs; general V2V coverage depends on wrapper.

Partial

reference controlSupported

Partial

native audioPartial

Speech-to-video supports audio-driven generation; general native generated audio for T2V needs separate confirmation.

Partial

lip syncSupported

S2V audio-driven generation covers speech/video synchronization workflows.

Supported

HunyuanVideo-Avatar is audio-driven human animation.

camera controlPartial

Watchlist

editing/extensionPartial

Partial

APIPartial

Self-hosting and hosted wrappers exist; Alibaba Cloud commercial endpoints should be normalized separately.

Partial

Open weights can be wrapped as hosted APIs; official Tencent Cloud endpoint mapping was not normalized in this pass.

commercial licenseProvisional

Check Apache-2.0 license before commercial use.

No public source link is attached yet.

Provisional

Check Tencent Hunyuan Community License license before commercial use.

No public source link is attached yet.

open/closed source[Object Object]

Wan2.2 publishes code and model weights with Apache-2.0 repository licensing shown by GitHub repository metadata.

[Object Object]

Tencent publishes code and weights; license is Tencent Hunyuan community license, not a permissive OSI-style license.

Wan 价格 / 入口

Open weights can be downloaded, but practical cost depends on GPU hardware or hosted inference. Commercial Alibaba/partner endpoints should be priced separately.

If exact public pricing is not listed here, treat it as provisional and check the linked source before publishing a cost claim.

访问渠道

价格事实

  • 2026-07-31 / confirmedSelf-hosting costHardware-dependent; S2V examples note high VRAM requirements.

HunyuanVideo 价格 / 入口

Open weights are free to download under their license terms; practical cost depends on GPU, inference stack, and hosted wrapper.

If exact public pricing is not listed here, treat it as provisional and check the linked source before publishing a cost claim.

访问渠道

价格事实

  • 2026-07-31 / confirmedOpen-weight cost modelNo per-generation license price in repository; compute is the main practical cost.

Performance / Quality 证据

Rows say source-backed when comparison JSON provides a cited claim; otherwise they are provisional.

Quality 维度WanHunyuanVideo
motion realismprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

prompt adherenceprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

temporal consistencyprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

subject consistencyprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

speedprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

resolution/duration/public benchmark evidenceprovisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

provisional

Public benchmark evidence pending; use current benchmark/ranking sources before making a hard quality claim.

No public source link is attached yet.

版本进展

Latest and historical versions are pulled from product profiles plus version-events JSON.

Wan versions

  • 2026 / watchlistWan 2.5 / 2.6 / 2.7Names appear in third-party catalogues and should not be treated as confirmed official releases yet.
  • 2025-07-28 / current_confirmedWan2.2Released inference code and model weights. Supports T2V, I2V, and TI2V. Integrated with Diffusers and ComfyUI.
  • 2025-03 / confirmedWan technical reportPublished the Wan open large-scale video generative model paper line.

HunyuanVideo versions

  • 2025-11-21 / current_confirmedHunyuanVideo-1.5Lightweight 8.3B video model line introduced. Supports text-to-video and image-to-video with lower usage barriers.
  • 2024-12-03 / confirmedHunyuanVideo 13BInference code and model weights released. Technical paper describes a large open-source video foundation model.

外部评分

Fallback scores, SEO/web authority signals, GitHub status, and preset editorial winners are shown with caveats.

SignalWanHunyuanVideo
Fallback score87

Wan appears in Artificial Analysis and Arena snapshots, and the open repository/paper provide reproducible public evidence.; professional score is provisional/evidence pending unless backed by scoring JSON.

84

HunyuanVideo is tracked by public leaderboards and has strong open-weight repository evidence, but current frontier placement needs live collection.; professional score is provisional/evidence pending unless backed by scoring JSON.

SEO / web authorityReachability collected; third-party authority metrics pending.Reachability collected; third-party authority metrics pending.
GitHub / open source

Wan2.2 publishes code and model weights with Apache-2.0 repository licensing shown by GitHub repository metadata.

Tencent publishes code and weights; license is Tencent Hunyuan community license, not a permissive OSI-style license.

Comparison preset

T2V/I2V/TI2V; Animate and S2V variants; ComfyUI/Diffusers ecosystem

High-memory GPUs may be required

Open 13B baseline; HunyuanVideo-1.5; Step-distilled I2V

Consumer usability depends on wrappers

到底该选哪个?

  • confirmedBroad open workflows: WanWan2.2 supports T2V, I2V and TI2V with public code/weights.
  • confirmedTencent open baseline: HunyuanvideoHunyuanVideo remains an important open-weight baseline.

来源

本页面使用的官方来源、新闻/版本来源、外部排名或权威来源,以及开源仓库链接。