Veo 3 Text-to-Video
Veo 3 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 Veo 3 Text-to-Video?
Veo 3 Text-to-Video is a generative video model available through LLM.API as `veo3-t2v`. Video generation model by Muapi. Expect text prompts and video outputs, with pricing often tied to seconds and resolution.
Providers
LLM.API routes Veo 3 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 $0.313 per second of video | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Veo 3 Text-to-Video right here — free to start.
Suggestions for your first prompt
Code snippet
Call Veo 3 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="veo3-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": "veo3-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. Tuned to how teams typically call Veo 3 Text-to-Video.
Motion coherence
Targets temporally consistent motion across frames for the requested scene. Grounded in the model's video role rather than generic chat claims.
Short-form content
Fits vertical and horizontal short-form marketing formats. Reflects video generation positioning for this endpoint.
Resolution options
Supports multiple output resolutions depending on provider pricing tiers.
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
- Explainer openers before live-action shoots with Veo 3 Text-to-Video
- Creative exploration for campaign storyboards
- Scene tests for world and environment design with Veo 3 Text-to-Video
- Localized motion variants of the same concept
- Internal pitch videos for stakeholders with Veo 3 Text-to-Video
- Social-first product teaser generation
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 Veo 3 Text-to-Video on LLM.API?
Unified AI Routing
Practical: Reach Veo 3 Text-to-Video and sibling models through one OpenAI-compatible endpoint.
Cost Control
Practical: Compare provider price points and keep spend visible as you scale Veo 3 Text-to-Video.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Observability
Practical: Trace prompts, tokens, and errors for Veo 3 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
Practical: Swap Veo 3 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 (Veo 3 Text-to-Video)
- You need resolution-tiered pricing for motion content (Veo 3 Text-to-Video)
- You are building short-form generative video features (Veo 3 Text-to-Video)
Avoid if...
- You need broadcast-length films or guaranteed cinema-grade continuity
- You require sub-second interactive generation
- You only need still images or chat text
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 Veo 3 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
When should I choose Veo 3 Text-to-Video?
You can tolerate longer generation times than chat — especially when you specifically need Veo 3 Text-to-Video.
What is the context length for Veo 3 Text-to-Video?
Reported context for Veo 3 Text-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.
How long do Veo 3 Text-to-Video jobs take?
Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.
Which providers serve Veo 3 Text-to-Video?
LLM.API currently lists: muapi. Availability can vary by region and account.
Can I use tools or structured outputs with Veo 3 Text-to-Video?
Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.
How is Veo 3 Text-to-Video priced on LLM.API?
Listed pricing metadata shows: $0.312/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
What is Veo 3 Text-to-Video?
Video generation model by Muapi. On LLM.API it is addressed as `veo3-t2v`.
What modalities does Veo 3 Text-to-Video support?
Veo 3 Text-to-Video accepts text and produces video according to its architecture metadata on LLM.API.
Is Veo 3 Text-to-Video a chat model?
No—Veo 3 Text-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.
Where is the canonical page for Veo 3 Text-to-Video?
https://llmapi.ai/models/openai-veo3-t2v/
Does Veo 3 Text-to-Video support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
COMPARE
Competitive Models
Veo 3.1 Image-to-Video
Sibling-style choice: Veo 3.1 Image-to-Video (veo3.1-i2v) for comparable video workloads.
Veo 3.1 Lite Text-to-Video
Consider Veo 3.1 Lite Text-to-Video when you want a related video alternative to Veo 3 Text-to-Video.
MiniMax Hailuo 2.3 Standard Text-to-Video
Consider MiniMax Hailuo 2.3 Standard Text-to-Video when you want a related video alternative to Veo 3 Text-to-Video.
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