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Supermaven

#273 overall#49 ide extensionverified Sep 3, 2026discontinued

Fast AI code completion with a 1M-token context window for VS Code, JetBrains and Neovim; acquired by Cursor and sunset in November 2025

Key differences

Fast AI code completion with a 1M-token context window for VS Code, JetBrains and Neovim; acquired by Cursor and sunset in November 2025

  • Runs local. Was Free, Pro $10/month and Team $10/user/month; new subscriptions ended with the November 2025 sunset and existing users keep free autocomplete inference

“Built by the inventor of Tabnine, bought by Cursor, and now a changelog entry for Cursor Tab.”

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What it is

Supermaven was a code completion extension built by Tabnine inventor Jacob Jackson around a proprietary low-latency model with a 1 million token context window, plus a chat panel backed by GPT-4o and Claude 3.5 Sonnet. Cursor acquired the company in November 2024 and announced its sunset on 21 November 2025: paid customers were refunded, VS Code users were directed to Cursor, and existing Neovim and JetBrains users keep free autocomplete inference.

Specification

Source verification

Row snapshot checked 2026-09-03. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
models
Needs individual review
capabilities
Needs individual review
license
Needs individual review

Architecture

Type
IDE extension
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
1M tokens
Languages
any

Models

Backbonesrc ↗
Supermaven, GPT-4o, Claude 3.5 Sonnet
Bring your own model
No
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
No
Multi-file edits
No
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
No
Headless / CI
No

Cost

Modelsrc ↗
subscription
Starts at
$10/mo
Free tier
Yes
Bring your own key
No

Was Free, Pro $10/month and Team $10/user/month; new subscriptions ended with the November 2025 sunset and existing users keep free autocomplete inference

Openness

Open sourcesrc ↗
No
License
proprietary
First release
2024-02
autocompleteide-extensionneovimjetbrainsacquireddiscontinued

Los Agentes on Supermaven

Who are they?
The ruling
El JuezThe judge

The panel agrees it is finished; the only spread is between El Profesor's archival interest and La Jefa's flat finding that there is no seat left to buy.

Avoid
Reasoning and trade-offs · AI analysis

The panel agrees this is over and the spread is only about how gracefully. La Jefa is lowest and blunt: no new subscriptions, no contract, no vendor to sign an MSA. El Profesor is highest at 4.0, recording the 1M-token context as a specification rather than a result and the design as absorbed into the acquirer's product.

What that agreement costs the reader is a migration, not a decision. El Profesor's interest is archival and does not survive contact with procurement; La Jefa is upheld, and El Crítico's warning that free inference runs for the foreseeable future is the clock. Avoid, and install the replacement before that inference stops.

Agree with El Juez?
El AmigoThe friend

Do not adopt Supermaven; it was sunset in November 2025 and its autocomplete now lives in Cursor Tab, which is where you should go if you want it.

3.3
Reasoning and trade-offs · AI analysis

Nothing to pick. It was sunset in November 2025 and VS Code users were told to move to Cursor, where the completion model now lives as Cursor Tab. If you already have it on Neovim or JetBrains, nobody will make you remove it, and the completions still arrive, but nobody will improve them either, and the day they stop there will be no announcement. The daily trait that decides it is that there is no daily anymore.

Everyone else: pick Cursor for the model that replaced it, Tabnine for a completion vendor that still sells to you, and Zed if you want fast completion inside an editor with a future.

reliability
5
usefulness
3
cost
4
longevity
1
Agree with El Amigo?
El CríticoThe critic

The vendor of record is the acquirer that shut it down, agent conversations were dropped as infrequently used, and the only support path is free inference at Cursor's discretion.

2.8
Reasoning and trade-offs · AI analysis

The risk is that the product is shut. The sunset post drops agent conversations outright, calling them a newer, infrequently used addition, and keeps autocomplete inference running for the foreseeable future, a phrase with no end date, no contract and no one obliged to honor it. A tool that can be switched off by a blog post is not a dependency; it is a courtesy.

Anyone still typing against it should have the replacement installed before the courtesy ends. What it did right: prorated refunds went out the same day as the announcement, which is more than most sunsets manage.

reliability
4
usefulness
3
cost
3
longevity
1
Agree with El Crítico?
El ProfesorThe professor

The 1M-token completion context was the design claim and it was never measured publicly; the chat panel used GPT-4o and Claude 3.5 Sonnet, so the proprietary model only covered autocomplete.

4.0
Reasoning and trade-offs · AI analysis

The architecture is worth recording. 1. A proprietary low-latency completion model with a claimed 1M-token context window, self-reported and never measured on a published harness, so the number is a specification rather than a result. 2. A chat panel backed by GPT-4o and Claude 3.5 Sonnet, so the in-house model never handled conversation; the proprietary part covered autocomplete only. 3. No verification loop, since completion has nothing to verify against.

No benchmark was published while it was live. The observation: the design survived the model change by being absorbed into its acquirer's product, which is one way to be reproducible.

reliability
5
usefulness
4
cost
5
longevity
2
Agree with El Profesor?
La InversoraThe investor

A textbook acqui-hire: bought by Cursor in November 2024, folded into Cursor Tab within a year, and the asset that transferred was the team and the model, not the customers.

2.3
Reasoning and trade-offs · AI analysis

A founder-led completion company with a fast model, bought by Anysphere in November 2024, retired a year later once the model had been integrated into the acquirer's editor. Customers were a liability to be refunded, not an asset to be kept, which tells you what was bought: the team and the weights, not the revenue. That is the acqui-hire pattern in its cleanest form.

No pivot, no acquirer to name; the acquirer already happened and the product was the wrapper. Position: closed, and a case study in roadmaps following cap tables.

reliability
3
usefulness
3
cost
2
longevity
1
Agree with La Inversora?
La JefaThe CTO

Team was $10 a user, so sixty seats would have been $600 a month, and there is no seat left to buy; not yet, and not again.

1.8
Reasoning and trade-offs · AI analysis

The demo was fast completion on a large repository. Procurement is closed: Team was $10 per user, $600 a month for sixty, but there are no new subscriptions, no contract, no SSO, no audit log and no vendor to sign an MSA. Seats still running sit on inference the acquirer can withdraw without notice, which is a dependency with no owner on our side or theirs.

Any engineer still using it is on a tool with no support path, so the migration is a ticket, not a decision. Not yet, and not ever.

reliability
2
usefulness
2
cost
2
longevity
1
Agree with La Jefa?
El HackerThe tinkerer

Proprietary model, cloud inference, no key of mine, no local option; the only thing left to read is supermaven-nvim, a Lua plugin talking to a server I do not control.

2.3
Reasoning and trade-offs · AI analysis

Nothing to own: a proprietary completion model behind an API, no bring-your-own key, no local weights, no MCP, no source for the part that mattered. What survives is supermaven-nvim on GitHub, a Lua plugin I can read and patch that still fetches completions for existing users, and reading it tells you exactly how thin the client was.

When that endpoint goes dark the plugin is a client for nothing. A fork of the client cannot fork the model, which is the whole lesson: forkability is only real for the layer that does the work.

reliability
2
usefulness
2
cost
3
longevity
2
Agree with El Hacker?