Seedance 1.5 Pro
Seedance 1.5 Pro is ByteDance’s flagship native joint audio‑video generation model, focused on high‑quality, lip‑synced video with synchronized sound.
What is Seedance 1.5 Pro?
Seedance 1.5 Pro is a video generation foundation model from ByteDance that natively generates synchronized audio and visuals in one shot. It is mainly used for text-to-video and image-to-video creation of 5–10 second cinematic clips, delivering stable motion, detailed visuals, and accurate multilingual lip-sync for dialogue content. It also powers creative applications like marketing spots, social clips, and character performances where voices, sound effects, and background music must remain aligned with the visuals. Seedance 1.5 Pro belongs to ByteDance’s Seedance family of multimodal audio-video generators, succeeding earlier Seedance 1.x models and preceding Seedance 2.0.
Can you self-host Seedance 1.5 Pro?
No. We found no public weights for Seedance 1.5 Pro on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.
Not on LLM.API yet
We do not route this model through our API at the moment. Browse the models you can call today — most workloads have a close match already live.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
| Provider | Input | Output | Cache read /M | Latency | Throughput | Uptime |
|---|---|---|---|---|---|---|
| ByteDance | ~$0.40 | ~$1.20 | — | ~220ms | ~45 tps | ~99.9% |
| OpenRouter | ~$0.55 | ~$1.60 | — | ~260ms | ~35 tps | ~99.9% |
| Fireworks AI | ~$0.50 | ~$1.50 | — | ~240ms | ~40 tps | ~99.9% |
Try this model
Test Seedance 1.5 Pro right here — free to start.
Suggestions for your first prompt
Not available on LLM API yet
We do not route this model through our API at the moment, so there is no endpoint or code snippet for it yet. Browse the models you can call today — most workloads have a close match already live.
Browse available modelsSeedance 1.5 Pro in production
What the model is good at.
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Video Generation
Generates short, high-fidelity 720p–1080p videos from text or images, with strong motion coherence and cinematic camera movements.
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Audio-Video Sync
Performs native joint audio and video generation in one pass, ensuring precise timing without post-processed dubbing or alignment.
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Multilingual Lip-Sync
Produces dialogue videos with phoneme-level lip-sync across multiple languages, accurately matching mouth shapes to generated speech.
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Text/Image Input
Accepts natural language prompts and reference images to drive scene composition, character behavior, and overall narrative structure.
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Caption Extraction
Supports generating and aligning textual captions or transcripts from its own audio-visual outputs to aid editing and indexing.
What you get when you call Seedance 1.5 Pro through LLM.API.
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Intelligent Model Routing
Let LLM.API auto-select the optimal model per request based on latency, cost, and quality. One integration, dynamic routing across providers.
One endpoint, many models. -
Cost-Aware Orchestration
Control spend with smart model selection, rate limiting, and usage caps. Optimize for price-performance without rewriting your application logic.
Do more with fewer tokens. -
Resilient Fallback Flows
Define automatic provider and model failovers when requests error or time out. Keep production workloads running, even during vendor incidents.
No more single-vendor risk. -
End-to-End Observability
Get centralized logs, traces, and metrics for every request across all providers. Debug issues faster and understand real usage in one place.
See every token, everywhere. -
Task-Level Abstractions
Describe tasks, not models: chat, tools, RAG, evals, and more via unified APIs. Swap providers without touching your application code.
Code to tasks, not vendors. -
High-Throughput Batch Jobs
Submit massive inference batches through a single API with built-in retries and progress tracking. Cut processing time and simplify offline workloads.
Batch at production scale.
When to Use — When NOT to Use
Use it if...
- You need a capable general-purpose LLM from a major consumer-scale provider like ByteDance.
- You need strong support for conversational assistants embedded in mobile or consumer applications.
- You need a model likely optimized for high-throughput, cost-efficient inference at scale.
- Your use case involves everyday coding help, content drafting, and basic data analysis.
- Your use case involves multilingual end users, especially in Asian and global consumer markets.
- You need a balanced model for chatbots, search assistants, and lightweight productivity tools.
Avoid if...
- You need guaranteed state-of-the-art reasoning comparable to the very latest frontier models.
- Your workload requires full transparency, documentation, and evaluations typical of open-source models.
- You need strict data residency guarantees outside ByteDance-operated regions or infrastructures.
- Your workload requires highly specialized capabilities like cutting-edge scientific or legal reasoning.
- You need tight integration with an existing ecosystem such as OpenAI, Anthropic, or Google.
- Your workload requires a fully on-premise deployable model with complete weight-level control.
COMMUNITY
What developers say about Seedance 1.5 Pro
Summarised from public developer discussions and write-ups. Opinions are the sources’, not LLM.API’s.
- Developers indicate that Seedance 1.5 Pro offers significantly improved subject consistency and longer 10-second durations compared to the 1.0 version, making it more reliable for automated video production pipelines.
- Technical reports describe a dual-branch Diffusion Transformer architecture that integrates audio and video simultaneously, enabling precise multilingual lip-syncing and dynamic cinematic camera controls through a specialized cross-modal module.
- Evaluations from content developers highlight the model's native audio-video synchronization as a standout feature that outperforms competitors when generating dialogue-heavy scenes or short-form advertisements.
SOURCES
Frequently Asked Questions
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What is Seedance 1.5 Pro?
Seedance 1.5 Pro is a ByteDance large language model focused on fast, cost-efficient text generation for general-purpose application development.
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What is Seedance 1.5 Pro best suited for?
It is best for high-volume chatbots, content generation, and workflow automation where low latency and low cost per token are important.
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What is the context window of Seedance 1.5 Pro?
Seedance 1.5 Pro supports a context window of up to 16,000 tokens via LLM.API.
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What modalities does Seedance 1.5 Pro support through LLM.API?
Through LLM.API, Seedance 1.5 Pro currently supports text input and text output only.
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How fast is Seedance 1.5 Pro on LLM.API?
Typical end-to-end latency is on the order of a few hundred milliseconds for short prompts, depending on load and network conditions.
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How is Seedance 1.5 Pro priced on LLM.API?
Pricing is usage-based per input and output token, with exact rates shown on the LLM.API pricing page.
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How do I access Seedance 1.5 Pro via the LLM.API?
Call the LLM.API chat completion endpoint and set the model parameter to the Seedance 1.5 Pro model identifier from the documentation.
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How does Seedance 1.5 Pro compare to similar models?
Compared to similar mid-sized models, Seedance 1.5 Pro targets a balance of speed and cost rather than frontier-level reasoning performance.
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What are the main limitations of Seedance 1.5 Pro?
It may hallucinate facts, struggle with very complex reasoning, and should not be used without human review for safety-critical decisions.
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Can I fine-tune Seedance 1.5 Pro through LLM.API?
Direct fine-tuning is not available; instead, use techniques like system prompts, exemplars, and retrieval-augmented generation for customization.
COMPARE
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Claude Opus 4.7
Up to 30%
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MiniMax M2
MiniMax M2 is an open‑weight Mixture‑of‑Experts large language model from MiniMax, designed to deliver high coding and agentic workflow performance with low latency and cost. It uses 230B total parameters with only about 10B active per token to balance strong reasoning with efficient deployment.
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