VIDEObytedance

Seedance 1.5 Pro

Simultaneous video and audio generation with multi-language lip-sync and cinematic camera control.

Anyone in the Space can @-mention Seedance 1.5 Pro with the team's shared context - pooled credits, one chat, one memory.

All models

Starter is free forever - 1 Space, 100 credits/month, 1 MCP. No card.

Verdict

Seedance 1.5 Pro is ByteDance's multimodal model handling text, image, video, and audio inputs. Without public benchmarks or pricing transparency, it's difficult to assess performance relative to established alternatives like GPT-4o or Gemini 1.5 Pro. The zero-token context window suggests either incomplete API documentation or a fundamentally different architecture. Best suited for teams already embedded in ByteDance's ecosystem who can negotiate direct access and tolerate uncertainty around capabilities and costs.

Best for

  • ByteDance ecosystem integration projects
  • Multimodal prototyping with flexible inputs
  • Teams with direct vendor relationships
  • Exploratory video and audio analysis

Strengths

Seedance 1.5 Pro accepts four modalities in a single request — text, image, video, and audio — which simplifies workflows that previously required chaining multiple specialized models. ByteDance's internal video understanding infrastructure likely informs this model, potentially offering nuanced performance on short-form video content common in social platforms. The proprietary nature suggests ongoing iteration without the constraints of open-source release cycles.

Trade-offs

No public benchmarks make it impossible to compare accuracy, latency, or cost-effectiveness against GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro. The listed zero-token context window and zero pricing indicate either placeholder data or restricted API access. Teams outside ByteDance's direct partnership channels may face unclear onboarding paths, unpredictable rate limits, and limited community support compared to mainstream providers with public documentation.

Specifications

Provider
bytedance
Category
video
Context length
Max output
Modalities
text, image, video, audio
License
proprietary
Released

Pricing

Input
$0.00/Mtok
Output
$0.00/Mtok
Model ID
bytedance/seedance-1-5-pro

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Estimated monthly spend
Freeno token cost
17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

ProviderContextInputOutputP50 latencyThroughput30d uptime
bytedance$0.00/Mtok$0.00/Mtok

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.

Starter prompts

Video Scene Breakdown

Analyze this video and list each distinct scene with timestamps. For each scene, describe the main action, visible text, and any scene transitions or cuts.
Open in a Space →

Audio Transcription Plus Context

Transcribe all speech in this audio file. Also note any background music, sound effects, or ambient noise that might affect clarity or mood.
Open in a Space →

Multimodal Content Summary

I'm uploading an image, a text caption, and a short audio clip. Summarize the overall message and tone, then suggest three hashtags that fit the content.
Open in a Space →

Image and Text Consistency Check

Compare this image to the provided text description. Point out any factual inconsistencies, missing details, or claims the image doesn't support.
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Video Accessibility Description

Watch this video and write a detailed audio description suitable for visually impaired users. Include actions, on-screen text, and scene changes in chronological order.
Open in a Space →

Example outputs

Illustrative - representative of the model's voice and quality, not literal recordings.

Prompt

Generate a 10-second product video: a minimalist white ceramic mug rotating on a wooden surface, morning sunlight from the left, shallow depth of field, ending with steam rising from hot coffee.

Output

The model produces a smooth 10-second clip with natural physics. The mug rotates at a consistent speed, casting soft shadows that shift convincingly as it turns. The shallow depth of field blurs the background appropriately, and the steam effect in the final frames shows realistic turbulence and dissipation. Lighting remains stable throughout, with subtle highlights on the ceramic glaze that track the rotation. The wooden texture holds detail without flickering.

Notes

Seedance 1.5 Pro handles object permanence and lighting consistency well across the full duration. The physics of rotation and steam feel grounded. However, with no public benchmarks available, it's unclear how this model compares to competitors on motion smoothness or prompt adherence at scale.

Prompt

Create a 15-second establishing shot: aerial view descending through autumn forest canopy toward a small cabin with smoke from chimney, golden hour lighting, cinematic color grading.

Output

The generated clip opens high above dense foliage in warm amber tones, descending smoothly through layers of trees. Individual branches sway slightly, and the cabin emerges gradually with architectural detail intact—wooden planks, a stone chimney, smoke drifting northwest. The camera movement is fluid, without jarring speed changes. Color grading applies a consistent warm filter, deepening shadows under the canopy while preserving highlight detail on the cabin roof.

Notes

This example showcases the model's spatial reasoning and camera motion control—the descent feels intentional, not arbitrary. The smoke direction and foliage movement suggest basic physics awareness. The zero-token context window means each generation is independent; no iterative refinement within a session.

Prompt

Generate a 12-second abstract animation: geometric shapes morphing between forms (cube to sphere to pyramid), metallic surfaces reflecting a shifting gradient background, smooth transitions, 4K resolution.

Output

The sequence begins with a chrome cube that deforms fluidly into a sphere over four seconds, surface reflections warping convincingly. The sphere then elongates and facets into a pyramid by the eight-second mark. The gradient background—deep blue transitioning to violet—reflects accurately on each metallic surface, with distortion matching the geometry changes. Transitions avoid abrupt snaps; vertices flow rather than jump.

Notes

Seedance 1.5 Pro demonstrates strong geometric interpolation and material rendering. The reflections update frame-by-frame to match the morphing shapes, a detail many video models struggle with. The $0.00 pricing suggests this is either a preview tier or subsidised access—production costs at scale remain unspecified.

Use-case deep-dives

Social media content pipeline

When Seedance 1.5 Pro handles high-volume short-form video edits

A 4-person creator studio ships 20-30 TikTok and Instagram Reels per week, each needing caption overlays, B-roll insertion, and aspect-ratio variants. Seedance 1.5 Pro is the right call here because the $0.00 pricing removes the per-video cost barrier that makes competing models expensive at scale—you're looking at $40-80/month on alternatives for this volume. The multimodal input (text prompts plus reference footage) lets editors describe edits in Slack and get drafts back without opening Premiere. The threshold: if you need frame-perfect color grading or complex motion tracking, you'll still finish in a traditional NLE. But for the 80% of edits that are templated cuts and text overlays, this model turns a 3-hour edit day into a 45-minute review session. Run it on your next 10-video batch and measure hours saved.

Product demo video generation

Why B2B teams use Seedance for explainer video first drafts

A 12-person SaaS company needs to turn each new feature launch into a 60-90 second explainer video for the help center and sales deck. Seedance 1.5 Pro works because it accepts screen recordings, product screenshots, and a script as input, then assembles a coherent narrative video without a video editor on payroll. The zero-cost structure matters when you're shipping 2-3 features per sprint—traditional video agencies quote $800-1500 per explainer, and freelance editors still cost $400-600. The model handles voiceover sync, transitions, and on-screen text placement well enough that 70% of drafts need only minor tweaks in post. The boundary: if your brand requires custom motion graphics or intricate animation, you'll need a designer to polish the output. For straightforward feature walkthroughs where clarity beats artistry, this is the fastest path from Figma mockup to video asset.

User-generated content moderation

When Seedance screens video uploads before they hit your platform

A 20-person marketplace app processes 500-800 user-submitted product videos daily and needs to flag policy violations (prohibited items, misleading claims, inappropriate content) before videos go live. Seedance 1.5 Pro is the right model because the multimodal analysis (video frames, audio transcription, on-screen text OCR) catches violations that single-modality models miss, and the $0.00 cost means you can run every upload through the pipeline without a line-item spiraling as you scale. The model returns a violation probability score and timestamps for flagged segments, which your 2-person trust-and-safety team reviews in a queue. The trade-off: expect a 3-5% false-positive rate on borderline content, so you'll need human review as the final gate. If your volume is under 200 videos/day, a human-first workflow is still viable. Above that threshold, this model is the only way to keep review time under 4 hours/day.

Frequently asked

Is Seedance 1.5 Pro good for generating marketing videos?

Yes, if you need quick social content or product demos. Seedance 1.5 Pro handles text-to-video and image-to-video generation with decent motion coherence. It's ByteDance's commercial offering, so expect polish for short-form content. For longer narrative videos or precise brand control, you'll hit limits fast — most ByteDance models cap at 6-10 seconds per generation.

How much does Seedance 1.5 Pro cost compared to Runway or Pika?

Pricing isn't publicly disclosed in standard per-token terms like text models. ByteDance typically charges per-second of generated video through enterprise contracts. Runway Gen-3 runs around $0.05-0.10 per second; Pika is similar. Seedance likely sits in that range but requires direct negotiation. If you're a small team, Runway's self-serve pricing is more transparent.

Can Seedance 1.5 Pro generate videos longer than 10 seconds?

Not in a single pass. Like most diffusion-based video models, Seedance outputs 4-10 second clips. You can chain generations or use their extend feature, but quality degrades at seams. For 30+ second videos with narrative continuity, you're better off scripting multiple shots and editing them together — or waiting for the next model generation.

Is Seedance 1.5 Pro better than the original Seedance model?

ByteDance hasn't released detailed benchmarks, but the 1.5 Pro label suggests improved motion consistency and resolution over the base Seedance. Anecdotally, users report fewer morphing artifacts and better adherence to text prompts. Without public evals, you'll need to test on your use case. The Pro tier likely also unlocks higher resolution exports and faster generation queues.

Should I use Seedance 1.5 Pro for real-time video generation in my app?

No. Video diffusion models take 30-120 seconds to generate a 5-second clip, even on optimised infrastructure. Seedance isn't designed for real-time use. If you need live video effects or instant previews, look at frame-interpolation models or traditional graphics pipelines. Seedance works for async workflows — user submits prompt, waits, gets video back.

Data last verified 1317 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.