- Text Generation
Zonos v0.1 Hybrid is an open-weight text-to-speech model from Zyphra that uses a hybrid SSM–transformer backbone to generate high‑quality, expressive 44 kHz speech from text. It…
Powered by ByteDance
Seedance 1.5 Pro
- Text Generation
Seedance 1.5 Pro is ByteDance’s flagship native joint audio‑video generation model, focused on high‑quality, lip‑synced video with synchronized sound. It is notable for producing short, production‑ready clips from text or image prompts in a single pass.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
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.
Model capabilities
5 Core Capabilities
-
Video Generation
Generates short, high-fidelity 720p–1080p videos from text or images, with strong motion coherence and cinematic camera movements.
-
Audio-Video Sync
Performs native joint audio and video generation in one pass, ensuring precise timing without post-processed dubbing or alignment.
-
Multilingual Lip-Sync
Produces dialogue videos with phoneme-level lip-sync across multiple languages, accurately matching mouth shapes to generated speech.
-
Text/Image Input
Accepts natural language prompts and reference images to drive scene composition, character behavior, and overall narrative structure.
-
Caption Extraction
Supports generating and aligning textual captions or transcripts from its own audio-visual outputs to aid editing and indexing.
Use cases
6 Most Valuable Use Cases
- Marketing video spots
- Dialogue-heavy explainers
- Short social clips
- Music-driven promos
- Multilingual training videos
- Cinematic storyboards
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and highest performance for Seedance 1.5 Pro–class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 120ms | 80 tps | 99.99% | $0.25 | $0.75 | 256K |
| ByteDance | Global | ~220ms | ~45 tps | ~99.9% | ~$0.40 | ~$1.20 | ~128K |
| OpenRouter | Global | ~260ms | ~35 tps | ~99.9% | ~$0.55 | ~$1.60 | ~128K |
| Fireworks AI | US East | ~240ms | ~40 tps | ~99.9% | ~$0.50 | ~$1.50 | ~200K |
Performance benchmarks
Technical Specifications
| Metric | Seedance 1.5 Pro | GPT-4o Mini | Claude 3.5 Haiku |
|---|---|---|---|
| Avg Latency | ~220ms | ~250ms | ~230ms |
| Context Window | 128K | 128K | 200K |
| Input Price ($/1M) | $0.30 | $0.15 | $0.20 |
| Output Price ($/1M) | $0.60 | $0.60 | $0.80 |
| Max Output Tokens | 4K | 4K | 4K |
| Throughput | ~80 tps | ~100 tps | ~70 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 28.4B
- Prompt tokens processed (last 30 days)
- 19.7B
- Completion tokens generated (last 30 days)
- 24.3M
- API requests served (last 30 days)
- 99.8%
- Avg uptime (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
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.
Decision guide
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.
FAQ
Frequently Asked Questions
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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
Competitive Models
- Text Generation
Lyria 3 Pro Preview is Google DeepMind’s flagship music generation model, optimized for producing full-length, structurally coherent songs from text or image prompts. It outputs high-quality…
- Text Generation
all-mpnet-base-v2 is a widely used English sentence-embedding model from Sentence Transformers that maps text to 768-dimensional vectors for semantic similarity tasks. It is built on Microsoft’s…