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Runway Text-to-Video

Runway 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 Runway Text-to-Video?

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

Providers

LLM.API routes Runway 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 $0.03 per second of video——

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

Try this model

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

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

Suggestions for your first prompt

Code snippet

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

5 Core Capabilities

  • Motion coherence

    Targets temporally consistent motion across frames for the requested scene. Tuned to how teams typically call Runway Text-to-Video.

  • Iterative creatives

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

  • Short-form content

    Fits vertical and horizontal short-form marketing formats. Relevant for `runway-t2v` workloads on LLM.API.

  • Text-to-video generation

    Synthesizes short video clips from prompts for ads, explainers, and social. Grounded in the model's video role rather than generic chat claims.

6 Most Valuable Use Cases

  • Localized motion variants of the same concept with Runway Text-to-Video
  • Explainer openers before live-action shoots
  • UGC-style drafts for performance marketing with Runway Text-to-Video
  • Short promotional clips from written briefs
  • Scene tests for world and environment design with Runway 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 Runway Text-to-Video on LLM.API?

  • Unified AI Routing

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

  • Cost Control

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

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for Runway Text-to-Video alongside the rest of your stack.

  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap Runway Text-to-Video for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You are building short-form generative video features (Runway Text-to-Video)
  • You need resolution-tiered pricing for motion content (Runway Text-to-Video)
  • You can tolerate longer generation times than chat (Runway 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 Runway 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 Runway Text-to-Video priced on LLM.API?

    Listed pricing metadata shows: 1080p: $0.05/sec; 720p: $0.03/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Does Runway Text-to-Video support streaming?

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

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

    Like other API models, Runway 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.

  • When should I choose Runway Text-to-Video?

    You need resolution-tiered pricing for motion content — especially when you specifically need Runway Text-to-Video.

  • What is the context length for Runway Text-to-Video?

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

  • Which providers serve Runway Text-to-Video?

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

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

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

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

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

  • What modalities does Runway Text-to-Video support?

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

  • What is Runway Text-to-Video?

    Video generation model by Muapi. On LLM.API it is addressed as `runway-t2v`.

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

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

  • How do I call Runway Text-to-Video via API?

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

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