2 models across 1 family · Latest: Replit Code (2023-06)
Online coding platform with AI-assisted features.
Replit's portfolio covers 2 active models across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 0 decision-task tags, 2 active tracked models, latest research stamp 2026-04-15.
Use this portfolio page for
- Teams evaluating general LLM work across this lab's releases
- Readers comparing families before locking a flagship SKU
- 2 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
2
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
Need benchmarks or capability flags
Latest dated release
2023-06-15
Replit Code
Freshness
2026-04-15
Researched 33d ago
Release cadence
Showing 2 recent dated ships (full timeline below). Latest spotlight: Replit Code (2023-06-15).
Where this lab wins
Task positioning unavailable until capability tags or benchmarks populate for active SKUs.
Flagship quality / price signal
Anchor SKU: Replit Code (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Replit is an American AI company founded in 2016. Online coding platform with AI-assisted features. Replit ships 1 model family totaling 2 models, with the most recent release Replit Code in 2023-06. Notable families include Replit Code. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links, release history, and source references without leaving the directory.
About
Replit is an online coding platform that provides a collaborative environment for developers to write, run, and share code. While not primarily focused on AI research, Replit incorporates AI-assisted features to support and streamline the coding process for its users. For example, their code completion feature uses AI to suggest relevant code snippets and function names as developers type, saving time and reducing errors. Their AI-powered debugging tool analyzes code and provides intelligent suggestions to help developers identify and fix issues more efficiently. These features not only improve productivity but also facilitate learning, as novice developers can discover best practices and common coding patterns through the AI's suggestions. Software engineers and SaaS executives can leverage platforms like Replit to enhance their development workflows, collaborate with others, and take advantage of AI-assisted tools that make coding more efficient and accessible.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Replit Code | 2023-06-15 | - | - | - | Apache 2.0 |
| Replit Code 1.5 | 2023-06-15 | - | - | - | Apache 2.0 |
Model families
Recent releases
- Replit Code- 2023-06-15
- Replit Code 1.5- 2023-06-15
FAQ
Who founded Replit and when?
Replit was founded in 2016 and is associated with San Mateo, California, United States.
What models has Replit released?
Replit ships 2 models across 1 family: Replit Code.
Is Replit's technology open source?
LLMReference does not yet have enough model license data to classify Replit's releases.
Where is Replit headquartered?
Replit is headquartered in San Mateo, California, United States.
What is Replit known for?
Online coding platform with AI-assisted features. Its most prominent tracked family is Replit Code.
How can I access Replit's models?
Replit's models are available via Replicate API.
Explore related pages
Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.