Supermaven
The fastest code autocomplete engine with an unprecedented 1,000,000 token context window.
Overview & Analysis
Created by Jacob Jackson (creator of Tabnine) and acquired by Cursor/Anysphere, Supermaven is engineered for sheer autocomplete velocity. Its custom Babble neural network boasts an astonishing 1,000,000 token context window that remembers your entire workspace and returns completions in under 100 milliseconds.
Pricing Model: Free tier with unlimited standard completions; Pro at $10/month with 1M token context Babble model.
Free Tier Details: Free forever with unlimited autocomplete using standard model.
Technical Specs & Models
Key Capabilities & Features
Specialized engineering mechanisms implemented in Supermaven.
1,000,000 Token Context Window
Maintains full awareness of recently viewed files, git histories, and cross-file definitions in active memory.
Sub-100ms Inference Latency
Completions appear almost instantaneously as you type, eliminating awkward pauses.
Multi-Editor Extension Ecosystem
Lightweight extensions available for VS Code, JetBrains, and Neovim.
Pros & Cons Evaluation
Forensic analysis of developer experience, cost efficiency, and trade-offs.
- Fastest autocomplete response latency in the software engineering industry
- Massive 1M token context understands deep codebase nuances without vector embeddings
- Very affordable Pro plan at only $10/month (half the cost of Cursor Pro)
- Focused strictly on code autocomplete; does not provide an autonomous multi-file terminal agent
- No standalone conversational chat interface
Pricing Plans & Tiers
Subscription plans, credit quotas, and commercial deployment options.
Free
For individual developers
- Unlimited code completions
- Standard speed model
- VS Code, JetBrains, Neovim support
Pro
For professional software developers
- 1,000,000 token context Babble model
- Sub-100ms response time
- Higher completion accuracy
- Priority routing
Verified Benchmark Evaluations
Standardized evaluation scores recorded on SWE-bench and synthetic code harnesses.
| Benchmark Harness | Score / Accuracy | Evaluation Metric | Verification Status | Evaluation Notes |
|---|---|---|---|---|
| DeepSWE v1.1 | 61.0% | Autocomplete Accuracy | Verified | Standard benchmark instance run. |
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