Home / Compare tools / invideo vs Runway invideo vs Runway AI video generators
The practical difference invideo: Teams producing marketing and social video without a traditional editor.
Runway: Video teams mixing generative clips with hands-on editing.
Choose by your workflow Consider invideo A browser-based AI video workspace that turns prompts and scripts into editable videos.
Teams producing marketing and social video without a traditional editor.
Things to consider Generation credits, seats and guest access differ by plan. The model used depends on generation settings; no historical benchmark version was matched. Explore tool → Consider Runway A broad creative suite for teams that want generation and editing in one workflow.
Video teams mixing generative clips with hands-on editing.
Video, image and audio generation use a shared credit system. Things to consider Check the credit cost of the model and output you intend to use. A model result does not measure editing, collaboration or the complete Runway workflow. Explore tool → Pricing and plans invideo Credit subscriptions with generation allowances; the official page distinguishes seats and guest access.
Plan structures reflect the documented source date. Check current prices and limits with the provider.
Source checked: Oct 3, 2026
Visit official site ↗ Runway Free starter credits; paid credit subscriptions. Generation costs depend on the model.
Plan structures reflect the documented source date. Check current prices and limits with the provider.
Source checked: Oct 3, 2026
Visit official site ↗ Models and independent evidence A model benchmark describes the tested model and task. It does not measure the whole tool, its interface, or every available plan.
Artificial Analysis
Artificial Analysis · Text-to-video models. What it measures: Published evaluation protocol. Read the publisher’s evaluation method, task scope, and tested model version before applying its results to a tool. No tool score is inferred here.
Scope Text-to-video models
What it measures Published evaluation protocol VBench team
VBench team · Text-to-video models. What it measures: Quality and consistency dimensions. A multi-dimensional video benchmark covering visual quality, motion and consistency.
Scope Text-to-video models
What it measures Quality and consistency dimensions Sources and evidence →
Before you choose Check whether the features described here are included in the plan you intend to use. A strong model does not replace a workflow that fits your task.