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Vidu V2.0 Text-to-Video

Vidu V2.0 Text-to-Video exposes video generation video generation through LLM.API so motion experiments share the same billing and auth as other models.

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What is Vidu V2.0 Text-to-Video?

Vidu V2.0 Text-to-Video is a generative video model available through LLM.API as `vidu-v2.0-t2v`. Video generation model by Muapi. Expect text prompts and video outputs, with pricing often tied to seconds and resolution.

Providers

LLM.API routes Vidu V2.0 Text-to-Video to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
muapi$0 in
$0 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
muapi30% offin —; out $0.15 per second of video——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Vidu V2.0 Text-to-Video right here — free to start.

Vidu V2.0 Text-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Vidu V2.0 Text-to-Video through the OpenAI-compatible API — Video generation via LLM.API (see docs for media endpoints).

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="vidu-v2.0-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": "vidu-v2.0-t2v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Short-form content

    Fits vertical and horizontal short-form marketing formats. Reflects video generation positioning for this endpoint.

  • Storyboard acceleration

    Turns written beats into moving drafts for rapid review. Tuned to how teams typically call Vidu V2.0 Text-to-Video.

  • Cinematic prompting

    Responds to camera, lighting, and mood language in creative briefs. Relevant for `vidu-v2.0-t2v` workloads on LLM.API.

  • Motion coherence

    Targets temporally consistent motion across frames for the requested scene.

  • Text-to-video generation

    Synthesizes short video clips from prompts for ads, explainers, and social. Tuned to how teams typically call Vidu V2.0 Text-to-Video.

6 Most Valuable Use Cases

  • Short promotional clips from written briefs with Vidu V2.0 Text-to-Video
  • Social-first product teaser generation
  • Localized motion variants of the same concept with Vidu V2.0 Text-to-Video
  • Scene tests for world and environment design
  • UGC-style drafts for performance marketing with Vidu V2.0 Text-to-Video
  • Creative exploration for campaign storyboards

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 Vidu V2.0 Text-to-Video on LLM.API?

  • Unified AI Routing

    Production: Reach Vidu V2.0 Text-to-Video and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Vidu V2.0 Text-to-Video.

  • Reliability Layer

    Practical: Retry and route across configured providers when a single upstream blips.

  • Observability

    Practical: Trace prompts, tokens, and errors for Vidu V2.0 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 Vidu V2.0 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 (Vidu V2.0 Text-to-Video)
  • You need resolution-tiered pricing for motion content (Vidu V2.0 Text-to-Video)
  • You are building short-form generative video features (Vidu V2.0 Text-to-Video)

Avoid if...

  • You only need still images or chat text
  • You need broadcast-length films or guaranteed cinema-grade continuity
  • You require sub-second interactive generation

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 Vidu V2.0 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 modalities does Vidu V2.0 Text-to-Video support?

    Vidu V2.0 Text-to-Video accepts text and produces video according to its architecture metadata on LLM.API.

  • Is Vidu V2.0 Text-to-Video a chat model?

    No—Vidu V2.0 Text-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.

  • What is the context length for Vidu V2.0 Text-to-Video?

    Reported context for Vidu V2.0 Text-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.

  • How is Vidu V2.0 Text-to-Video priced on LLM.API?

    Listed pricing metadata shows: $0.15/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Where is the canonical page for Vidu V2.0 Text-to-Video?

    https://llmapi.ai/models/vidu-v2-0-t2v/

  • Can I use tools or structured outputs with Vidu V2.0 Text-to-Video?

    Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.

  • Which providers serve Vidu V2.0 Text-to-Video?

    LLM.API currently lists: muapi. Availability can vary by region and account.

  • How long do Vidu V2.0 Text-to-Video jobs take?

    Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.

  • How do I call Vidu V2.0 Text-to-Video via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "vidu-v2.0-t2v" and your LLM.API key. See the code snippet on this page.

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