Seedance Pro Text-to-Video
Seedance Pro Text-to-Video exposes video generation video generation through LLM.API so motion experiments share the same billing and auth as other models.
What is Seedance Pro Text-to-Video?
Seedance Pro Text-to-Video targets motion content rather than chat. Video generation model by Muapi. On LLM.API it sits alongside other media models under a single developer account.
Providers
LLM.API routes Seedance Pro Text-to-Video to the providers below, with discounted effective rates versus list price.
List price by provider ($ / 1M tokens)
InputOutputProvider list prices; the LLM.API discount applies on top.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in —; out $0.036 per second of video | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Seedance Pro Text-to-Video right here — free to start.
Suggestions for your first prompt
Code snippet
Call Seedance Pro Text-to-Video through the OpenAI-compatible API — Video generation via LLM.API (see docs for media endpoints).
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAP_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="seedance-pro-t2v",
messages=[
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."},
],
)
print(resp.choices[0].message.content){
"model": "seedance-pro-t2v",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Resolution options
Supports multiple output resolutions depending on provider pricing tiers. Grounded in the model's video role rather than generic chat claims.
Iterative creatives
Enables prompt-based A/B exploration of motion concepts.
Product visualization
Helps visualize products and environments before shoot or 3D work. Grounded in the model's video role rather than generic chat claims.
Motion coherence
Targets temporally consistent motion across frames for the requested scene. Reflects video generation positioning for this endpoint.
Text-to-video generation
Synthesizes short video clips from prompts for ads, explainers, and social. Tuned to how teams typically call Seedance Pro Text-to-Video.
6 Most Valuable Use Cases
- Explainer openers before live-action shoots with Seedance Pro Text-to-Video
- Scene tests for world and environment design
- Short promotional clips from written briefs with Seedance Pro Text-to-Video
- Creative exploration for campaign storyboards
- Social-first product teaser generation with Seedance Pro Text-to-Video
- Localized motion variants of the same concept
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Execution
Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.
More performance, less spend. -
Resilient Fallback Flows
Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.
Never go dark on users. -
Deep LLM Observability
Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.
See every token, everywhere. -
Task-Level Orchestration
Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.
Think tasks, not models. -
High-Throughput Batch APIs
Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.
Scale from 1 to millions.
Why run Seedance Pro Text-to-Video on LLM.API?
Unified AI Routing
Practical: Reach Seedance Pro Text-to-Video and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale Seedance Pro Text-to-Video.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Observability
Trace prompts, tokens, and errors for Seedance Pro Text-to-Video alongside the rest of your stack.
Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Swap Seedance Pro Text-to-Video for chat, media, or embedding alternatives without rewriting auth.
When to Use — When NOT to Use
Use it if...
- You can tolerate longer generation times than chat (Seedance Pro Text-to-Video)
- You need resolution-tiered pricing for motion content (Seedance Pro Text-to-Video)
- You are building short-form generative video features (Seedance Pro Text-to-Video)
Avoid if...
- You only need still images or chat text
- You require sub-second interactive generation
- You need broadcast-length films or guaranteed cinema-grade continuity
COMMUNITY
What creators say about AI video models
Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Seedance Pro Text-to-Video.
- Creator reviews of the latest Kling releases praise multi-shot consistency, native audio and genuine 4K output.
- Comparisons with Sora and Runway focus on prompt adherence and motion stability rather than raw resolution.
- The common workflow advice: generate many short takes cheaply, then upscale or extend the ones that land.
SOURCES
Frequently Asked Questions
What is the context length for Seedance Pro Text-to-Video?
Reported context for Seedance Pro Text-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.
Is Seedance Pro Text-to-Video a chat model?
No—Seedance Pro Text-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.
What are limitations of Seedance Pro Text-to-Video?
Like other API models, Seedance Pro Text-to-Video can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
Can I use tools or structured outputs with Seedance Pro Text-to-Video?
Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.
Does Seedance Pro Text-to-Video support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
What modalities does Seedance Pro Text-to-Video support?
Seedance Pro Text-to-Video accepts text and produces video according to its architecture metadata on LLM.API.
How long do Seedance Pro Text-to-Video jobs take?
Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.
What is Seedance Pro Text-to-Video?
Video generation model by Muapi. On LLM.API it is addressed as `seedance-pro-t2v`.
COMPARE
Competitive Models
MiniMax Hailuo 02 Pro Text-to-Video
Another video option from the video generation lineup on LLM.API.
Kling V2.5 Turbo Pro Text-to-Video
Another video option from the video generation lineup on LLM.API.
Seedance V1.5 Pro T2v Fast Text-to-Video
Sibling-style choice: Seedance V1.5 Pro T2v Fast Text-to-Video (seedance-v1.5-pro-t2v-fast) for comparable video workloads.
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