Veo vs HunyuanVideo
Veo and HunyuanVideo are both current Top 10 AI 视频生成器. Veo has the stronger current scoring signal in this dataset, while HunyuanVideo may still win for specific access, workflow, pricing, or open-source needs.
快速建议
Most ordinary users should start with Veo 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 Veo 的情况
- generation quality原因: Veo 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.
- motion realism原因: Veo has the stronger cited claim in this comparison row: Generation quality / external scoring signal.证据: artificialanalysis.ai
- camera control原因: Veo has stronger camera control evidence from product features, workflow tags, or access data.证据: deepmind.google, github.com
- reference control原因: Veo has stronger reference control evidence from product features, workflow tags, or access data.证据: deepmind.google, ai.google.dev, github.com
选择 HunyuanVideo 的情况
- price / cost原因: HunyuanVideo has the clearer cost/access advantage from open weights or confirmed price facts.证据: gemini.google.com, labs.google, ai.google.dev
- access / availability原因: HunyuanVideo has broader visible access evidence across web, API, aggregator, or open-weight routes.证据: gemini.google.com, labs.google, workspace.google.com
- open / closed source原因: HunyuanVideo publishes open weights or open-source artifacts, which is a clear advantage for self-hosting, research, and reproducible evaluation.证据: deepmind.google, github.com, github.com
购买前仍需确认的证据
Veo 概览
Google DeepMind's flagship video generation family for cinematic clips, image-referenced video, vertical output, native audio, and API workflows.
公司: Google DeepMind
模型 page: Veo details
当前分数： 86
适合场景
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
适合场景
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.
Veo 的优势
- generation quality原因: Veo 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.
- motion realism原因: Veo has the stronger cited claim in this comparison row: Generation quality / external scoring signal.证据: artificialanalysis.aiBest for: Ads, action shots, camera moves, and physical scenes
- camera control原因: Veo has stronger camera control evidence from product features, workflow tags, or access data.证据: deepmind.google, github.comBest for: Directors who need repeatable camera language
- reference control原因: Veo has stronger reference control evidence from product features, workflow tags, or access data.证据: deepmind.google, ai.google.dev, github.comBest for: Brand/product references and character consistency
- native audio原因: Veo has stronger native audio evidence from product features, workflow tags, or access data.证据: ai.google.dev, github.comBest for: Dialogue, sound effects, music, and audio-video sync
- API / developer availability原因: Veo has stronger API availability evidence from product features, workflow tags, or access data.证据: ai.google.dev, github.comBest for: 开发者s, automation builders, and product teams
- version maturity原因: Veo has the newer tracked version event in the local version dataset.证据: docs.dev.runwayml.com, github.comBest for: Teams choosing stable current products
- external ratings / leaderboard原因: Veo 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
- price / cost原因: HunyuanVideo has the clearer cost/access advantage from open weights or confirmed price facts.证据: gemini.google.com, labs.google, ai.google.devBest for: Budget-sensitive teams and API buyers
- access / availability原因: HunyuanVideo has broader visible access evidence across web, API, aggregator, or open-weight routes.证据: gemini.google.com, labs.google, workspace.google.comBest for: Ordinary users who need the product to work today
- open / closed source原因: HunyuanVideo publishes open weights or open-source artifacts, which is a clear advantage for self-hosting, research, and reproducible evaluation.证据: deepmind.google, github.com, github.comBest for: Researchers, self-hosters, and teams needing model control
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: deepmind.google, blog.google, ai.google.devBest for: Creators choosing by workflow breadth instead / one demo
- speed / 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.
- prompt adherence原因: Veo and HunyuanVideo both have usable evidence here; choose based on workflow fit and current access.证据: deepmind.google, github.comBest for: Prompt-heavy storyboards and precise scene requests
- subject consistency原因: Both products have comparable subject consistency evidence or the difference depends on workflow depth.证据: deepmind.google, github.comBest for: Character, product, and object continuity work
- editing / extension原因: Both products have comparable editing or extension workflow evidence or the difference depends on workflow depth.证据: deepmind.google, github.comBest for: Iterative editors and production teams
- commercial use原因: Commercial use depends on current product terms, regional plans, and license language; verify live terms before recommending a winner.证据: deepmind.google, github.com, github.comBest for: Brands, agencies, and revenue-generating projects
- SEO / popularity / web authority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.Best for: Teams using adoption and discoverability as risk signals
No public source link is attached yet.
- open-source GitHub metrics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.Best for: Open-model evaluators and infra teams
No public source link is attached yet.
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 | HunyuanVideo advantage | 原因: HunyuanVideo has the clearer cost/access advantage from open weights or confirmed price facts. | 证据: gemini.google.com, labs.google, ai.google.dev | Budget-sensitive teams and API buyers |
| access / availability | HunyuanVideo advantage | 原因: HunyuanVideo has broader visible access evidence across web, API, aggregator, or open-weight routes. | 证据: gemini.google.com, labs.google, workspace.google.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: deepmind.google, blog.google, ai.google.dev | Creators choosing by workflow breadth instead / one demo |
| generation quality | Veo advantage | 原因: Veo 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 | Veo advantage | 原因: Veo has the stronger cited claim in this comparison row: Generation quality / external scoring signal. | 证据: artificialanalysis.ai | Ads, action shots, camera moves, and physical scenes |
| prompt adherence | 持平或视情况而定 | 原因: Veo and HunyuanVideo both have usable evidence here; choose based on workflow fit and current access. | 证据: deepmind.google, github.com | 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: deepmind.google, github.com | Character, product, and object continuity work |
| camera control | Veo advantage | 原因: Veo has stronger camera control evidence from product features, workflow tags, or access data. | 证据: deepmind.google, github.com | Directors who need repeatable camera language |
| reference control | Veo advantage | 原因: Veo has stronger reference control evidence from product features, workflow tags, or access data. | 证据: deepmind.google, ai.google.dev, github.com | Brand/product references and character consistency |
| native audio | Veo advantage | 原因: Veo has stronger native audio evidence from product features, workflow tags, or access data. | 证据: ai.google.dev, 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: deepmind.google, github.com | Iterative editors and production teams |
| API / developer availability | Veo advantage | 原因: Veo has stronger API availability evidence from product features, workflow tags, or access data. | 证据: ai.google.dev, 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: deepmind.google, github.com, github.com | Brands, agencies, and revenue-generating projects |
| open / closed source | HunyuanVideo advantage | 原因: HunyuanVideo publishes open weights or open-source artifacts, which is a clear advantage for self-hosting, research, and reproducible evaluation. | 证据: deepmind.google, github.com, github.com | Researchers, self-hosters, and teams needing model control |
| version maturity | Veo advantage | 原因: Veo has the newer tracked version event in the local version dataset. | 证据: docs.dev.runwayml.com, github.com | Teams choosing stable current products |
| external ratings / leaderboard | Veo advantage | 原因: Veo 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: deepmind.google, tencent.com, deepmind.google | 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 | Veo | HunyuanVideo |
|---|---|---|
| text-to-video | Supported | Supported |
| image-to-video | Supported | Supported |
| video-to-video | Supported Veo 3.1 supports video input for extension in Gemini API docs. | Partial |
| reference control | Supported | Partial |
| native audio | Supported | Partial |
| lip sync | Partial Native audio is confirmed; standalone lip-sync controls need feature-level confirmation. | Supported HunyuanVideo-Avatar is audio-driven human animation. |
| camera control | Supported | Watchlist |
| editing/extension | Partial | Partial |
| API | Supported | Partial Open weights can be wrapped as hosted APIs; official Tencent Cloud endpoint mapping was not normalized in this pass. |
| commercial license | Provisional Commercial use depends on current hosted product terms. 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] Veo weights are not open. | [Object Object] Tencent publishes code and weights; license is Tencent Hunyuan community license, not a permissive OSI-style license. |
Veo 价格 / 入口
Gemini API pricing lists Veo 3 at USD 0.40 per second, Veo 3 Fast at USD 0.15 per second, and Veo 2 at USD 0.35 per second; check page for Veo 3.1 pricing before display.
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
- Veo 3 APIUSD 0.40 per second on paid tier
- Veo 3 Fast APIUSD 0.15 per second on paid tier
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
- Open-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 | Veo | HunyuanVideo |
|---|---|---|
| motion realism | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
| prompt adherence | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
| temporal consistency | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
| subject consistency | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
| speed | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
| resolution/duration/public benchmark evidence | source-backed high Veo has a current evidence-weighted score / 86.4. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) | source-backed high HunyuanVideo has a current evidence-weighted score / 84. Treat this as source-aware provisional unless refreshed against live Artificial Analysis, Arena, and product tests. (high) |
版本进展
Latest and historical versions are pulled from product profiles plus version-events JSON.
Veo versions
- Veo negative prompt supportRunway API adds optional negativePrompt for veo3, veo3.1, and veo3.1_fast text-to-video and image-to-video requests.
- Veo model cardsOfficial DeepMind model-card index for Veo safety/version updates.
- Veo 3.1 Lite model cardGoogle DeepMind published the Veo 3.1 Lite model card for the text/image-to-video system with audio.
- Veo 3.1 in Google Vids free monthly accessGoogle announced that personal Google accounts get monthly no-cost Veo 3.1 video generations in Google Vids, with higher limits for Google AI Pro/Ultra and Workspace AI Ultra accounts.
- Veo 3.1Improves Ingredients to Video. Adds native vertical outputs. Adds 1080p and 4K upscaling options.
- Veo 3.1 Preview / Fast PreviewGemini API model codes include veo-3.1-generate-preview and veo-3.1-fast-generate-preview. Supports text, image, last-frame, reference-image, and video-extension inputs depending on model.
- Veo 3 PreviewGemini API changelog lists video with audio generation for Veo 3 preview.
- VeoVeo announced at Google I/O 2024 as Google DeepMind's generative video model.
HunyuanVideo versions
- HunyuanVideo-1.5Lightweight 8.3B video model line introduced. Supports text-to-video and image-to-video with lower usage barriers.
- HunyuanVideo 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.
| Signal | Veo | HunyuanVideo |
|---|---|---|
| Fallback score | 86 Google Gemini Omni Flash/Veo-family entries lead the Artificial Analysis audio-video snapshot and rank highly in Arena/Vercel snapshots.; 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 authority | Reachability collected; third-party authority metrics pending. | Reachability collected; third-party authority metrics pending. |
| GitHub / open source | Veo weights are not open. | Tencent publishes code and weights; license is Tencent Hunyuan community license, not a permissive OSI-style license. |
| Comparison preset | Cinematic Generation; Image Referenced Clips; Vertical Short Form Video; Ingredients To Video; Native Vertical Output 模型 availability and feature access vary by country, product surface, and plan.; Some Google products may expose only selected Veo versions. | Open 权重 Testing; 开发者 Experiments; Self Hosted Video Generation; Open 13B Baseline; HunyuanVideo 1.5 Lightweight Focus Consumer usability depends heavily on wrappers and GPU access.; 模型 license and commercial-use terms should be checked per checkpoint. |
到底该选哪个？
- Veo best-fit workflows: Veocinematic generation, image-referenced clips, vertical short-form video
- HunyuanVideo best-fit workflows: Hunyuanvideoopen-weight testing, developer experiments, self-hosted video generation
- Score-backed shortlist pick: VeoVeo has the higher current evidence-weighted score (86.4 vs 84).
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。