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OVI Text-to-Video

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

Start Using API

What is OVI Text-to-Video?

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

Providers

LLM.API routes OVI 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 $0.04 per second of video——

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

Try this model

Test OVI Text-to-Video right here — free to start.

OVI Text-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call OVI 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="ovi-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": "ovi-t2v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Cinematic prompting

    Responds to camera, lighting, and mood language in creative briefs.

  • Resolution options

    Supports multiple output resolutions depending on provider pricing tiers. Tuned to how teams typically call OVI Text-to-Video.

  • Short-form content

    Fits vertical and horizontal short-form marketing formats. Grounded in the model's video role rather than generic chat claims.

  • Storyboard acceleration

    Turns written beats into moving drafts for rapid review. Relevant for `ovi-t2v` workloads on LLM.API.

  • Iterative creatives

    Enables prompt-based A/B exploration of motion concepts. Relevant for `ovi-t2v` workloads on LLM.API.

6 Most Valuable Use Cases

  • Creative exploration for campaign storyboards with OVI Text-to-Video
  • Scene tests for world and environment design
  • Internal pitch videos for stakeholders with OVI Text-to-Video
  • Localized motion variants of the same concept
  • Social-first product teaser generation with OVI Text-to-Video
  • UGC-style drafts for performance marketing

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 OVI Text-to-Video on LLM.API?

  • Unified AI Routing

    Practical: Reach OVI 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 OVI Text-to-Video.

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for OVI 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

    Practical: Swap OVI 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 (OVI Text-to-Video)
  • You need resolution-tiered pricing for motion content (OVI Text-to-Video)
  • You are building short-form generative video features (OVI Text-to-Video)

Avoid if...

  • You require sub-second interactive generation
  • You only need still images or chat text
  • 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 OVI 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 OVI Text-to-Video support?

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

  • What are limitations of OVI Text-to-Video?

    Like other API models, OVI 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.

  • Is OVI Text-to-Video a chat model?

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

  • Does OVI Text-to-Video support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • How is OVI Text-to-Video priced on LLM.API?

    Listed pricing metadata shows: $0.04/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Can I use tools or structured outputs with OVI Text-to-Video?

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

  • How long do OVI 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 OVI Text-to-Video via API?

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

  • Where is the canonical page for OVI Text-to-Video?

    https://llmapi.ai/models/ovi-t2v/

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