Supermaven

by Supermaven

Freemium

Ultra-fast AI code completion with 1M token context window and 0ms latency predictions.

Category Coding
Platform WebmacOSWindowsLinux
Last Updated April 3, 2026

Overview

Supermaven is an AI-powered code completion tool known for its industry-leading 1 million token context window, enabling it to understand entire codebases and provide highly relevant suggestions. The tool offers significantly faster response times than competitors, with latency as low as 250ms across VS Code, JetBrains IDEs, and Neovim.

It supports 24+ programming languages and adapts to individual coding styles while offering multi-model support including GPT-4o and Claude Sonnet. Note: Cursor acquired Supermaven in 2025, and the standalone product was sunset in late 2025 — its technology is now integrated into Cursor.

Pricing

Free
$0 /mo
  • Basic code completion with fast suggestions, works with large codebases, 7-day data retention
Pro
$10 /mo
  • 1 million token context window, coding style adaptation, $5/month in chat credits, access to largest AI model
Team
$10 /mo per user
  • All Pro features plus centralized user management and billing. *Note: Supermaven was acquired by Cursor
  • New users should consider Cursor directly.*

Pros & Cons

Pros

Largest context window (1 million tokens) enables understanding of entire codebases
Significantly faster response times with 250ms latency for minimal workflow interruption
Free tier provides baseline code completion without cost for individual developers
Multi-model support allows switching between GPT-4o and Claude depending on needs
Supports 24+ programming languages and adapts to individual coding style

Cons

Acquired by Cursor and sunset as standalone product — no longer accepting new users
Scope limited to autocomplete only with no chat, agentic, or multi-file editing features
Free plan has 7-day data retention and no access to advanced context window
Potential workflow conflicts with VS Code's native autocomplete without priority controls
Data retained and used for model training, raising privacy concerns for some teams