HunyuanVideo Text-to-Video
Create short generative video with HunyuanVideo Text-to-Video on LLM.API, with resolution-aware pricing and a unified developer workflow.
What is HunyuanVideo Text-to-Video?
HunyuanVideo 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 HunyuanVideo 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 $0.03 per second of video | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test HunyuanVideo Text-to-Video right here — free to start.
Suggestions for your first prompt
Code snippet
Call HunyuanVideo 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="hunyuan-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": "hunyuan-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.
Cinematic prompting
Responds to camera, lighting, and mood language in creative briefs. 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 HunyuanVideo Text-to-Video.
Storyboard acceleration
Turns written beats into moving drafts for rapid review. Relevant for `hunyuan-t2v` workloads on LLM.API.
Short-form content
Fits vertical and horizontal short-form marketing formats. Tuned to how teams typically call HunyuanVideo Text-to-Video.
6 Most Valuable Use Cases
- Explainer openers before live-action shoots with HunyuanVideo Text-to-Video
- Creative exploration for campaign storyboards
- UGC-style drafts for performance marketing with HunyuanVideo Text-to-Video
- Scene tests for world and environment design
- Short promotional clips from written briefs with HunyuanVideo Text-to-Video
- Internal pitch videos for stakeholders
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 HunyuanVideo Text-to-Video on LLM.API?
Unified AI Routing
Reach HunyuanVideo Text-to-Video and sibling models through one OpenAI-compatible endpoint.
Cost Control
Production: Compare provider price points and keep spend visible as you scale HunyuanVideo Text-to-Video.
Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Observability
Trace prompts, tokens, and errors for HunyuanVideo Text-to-Video alongside the rest of your stack.
Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Production: Swap HunyuanVideo 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 (HunyuanVideo Text-to-Video)
- You are building short-form generative video features (HunyuanVideo Text-to-Video)
- You need resolution-tiered pricing for motion content (HunyuanVideo 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 HunyuanVideo 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
How is HunyuanVideo Text-to-Video priced on LLM.API?
Listed pricing metadata shows: $0.03/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
How long do HunyuanVideo Text-to-Video jobs take?
Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.
What modalities does HunyuanVideo Text-to-Video support?
HunyuanVideo Text-to-Video accepts text and produces video according to its architecture metadata on LLM.API.
Where is the canonical page for HunyuanVideo Text-to-Video?
https://llmapi.ai/models/hunyuan-t2v/
What are limitations of HunyuanVideo Text-to-Video?
Like other API models, HunyuanVideo 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.
Which providers serve HunyuanVideo Text-to-Video?
LLM.API currently lists: muapi. Availability can vary by region and account.
Does HunyuanVideo Text-to-Video support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
What is the context length for HunyuanVideo Text-to-Video?
Reported context for HunyuanVideo Text-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.
When should I choose HunyuanVideo Text-to-Video?
You can tolerate longer generation times than chat — especially when you specifically need HunyuanVideo Text-to-Video.
Is HunyuanVideo Text-to-Video a chat model?
No—HunyuanVideo Text-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.
COMPARE
Competitive Models
HappyHorse 1.1 Text-to-Video
Sibling-style choice: HappyHorse 1.1 Text-to-Video (happyhorse-1.1-t2v) for comparable video workloads.
HunyuanVideo Image-to-Video
Sibling-style choice: HunyuanVideo Image-to-Video (hunyuan-i2v) for comparable video workloads.
HunyuanVideo Fast Text-to-Video
Sibling-style choice: HunyuanVideo Fast Text-to-Video (hunyuan-fast-t2v) for comparable video workloads.
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