Supermaven
ExtensionFreeFastest AI code completion — 300K context, ultra-low latency, VS Code and JetBrains.
Capabilities13 decomposed
codebase-aware inline code completion with 1m token context window
Medium confidenceGenerates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
multi-model conversational code chat with diff generation and application
Medium confidenceProvides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
compiler diagnostic integration for error-aware code suggestions
Medium confidenceSupermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
30-day free trial for pro tier with full feature access
Medium confidenceSupermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
no offline mode or local inference capability
Medium confidenceSupermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
coding style adaptation and personalization (pro/team only)
Medium confidenceAnalyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
real-time inline suggestion rendering with claimed 250ms latency
Medium confidenceDelivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
editor plugin integration for vs code, jetbrains, and neovim
Medium confidenceProvides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
7-day data retention policy with automatic purge
Medium confidenceSupermaven retains code context and conversation data for 7 days across all tiers (free, Pro, Team), then automatically purges it. This policy applies to both inline completion context and chat history. No explicit data export or backup mechanism is mentioned, and no option to extend retention is disclosed.
Fixed 7-day automatic purge across all tiers with no retention extension option, versus competitors (Copilot, Tabnine) that may offer longer retention or explicit data handling policies. Supermaven's approach prioritizes privacy over data persistence.
Shorter retention than some competitors (7 days vs 30+ days), reducing data exposure risk; trade-off is inability to access historical context after 7 days and no audit trail.
free tier with undisclosed context window and smaller model
Medium confidenceSupermaven offers a free tier with inline code completion, large codebase support (vaguely defined), and 7-day data retention, but uses a smaller model than Pro/Team and has an undisclosed context window size. The free tier does not include style adaptation, chat credits, or access to the 'largest, most intelligent model' claimed for paid tiers. No explicit feature comparison table is published.
Free tier with undisclosed context window and smaller model creates clear upgrade pressure, versus competitors (Copilot free tier, Tabnine free tier) that publish explicit feature limitations. Supermaven's vague 'large codebase support' claim on free tier is misleading given undisclosed context window.
Free tier available without credit card, unlike some competitors requiring paid subscription; trade-off is undisclosed limitations and likely poor performance on large codebases despite marketing claims.
pro tier with 1m token context window and largest model
Medium confidenceSupermaven Pro ($10/month, 30-day free trial) unlocks the full 1M token context window, access to the 'largest, most intelligent model' for inline completion, style adaptation, and $5/month in chat credits (for external model API costs). Pricing is flat per-user with no per-use overage, and no explicit feature limit is published beyond free tier comparison.
Flat $10/month pricing with 1M token context window and included chat credits, versus competitors (Copilot Pro $20/month, Tabnine Pro $12/month) with different feature sets and pricing models. Supermaven's approach is simpler pricing but with undisclosed chat credit overage costs.
Lower price than GitHub Copilot Pro ($10 vs $20/month) with larger context window (1M vs 32K tokens); trade-off is undisclosed chat credit overage pricing and no team management features.
team tier with centralized user management and billing
Medium confidenceSupermaven Team ($10/month per user) provides the same features as Pro (1M token context, largest model, style adaptation, chat credits) plus centralized user management, centralized billing, and unlimited users per team. Pricing scales linearly with team size (10 users = $100/month, 100 users = $1,000/month). No explicit admin dashboard or team analytics are mentioned.
Centralized billing and user management at $10/month per user with unlimited team size, versus competitors (Copilot Team $30/month per user, Tabnine Team pricing undisclosed) with different pricing and management models. Supermaven's approach is simpler but lacks volume discounts.
Lower per-user cost than GitHub Copilot Team ($10 vs $30/month) with centralized billing; trade-off is linear scaling without volume discounts and undisclosed admin dashboard features.
chat credit system with included $5/month and unknown overage pricing
Medium confidenceSupermaven Chat uses a credit-based system where Pro/Team tiers include $5/month in credits to cover external LLM API costs (GPT-4o, Claude 3.5 Sonnet, GPT-4). Credits are consumed per API call to external models; overage pricing is undisclosed. Free tier credit access is unknown. No explicit credit rollover, expiration, or refund policy is mentioned.
Unified credit system for multiple LLM backends (GPT-4o, Claude) with included $5/month, versus competitors (Copilot Chat uses single model per tier, Tabnine requires separate API keys) that require separate billing or single-model lock-in. Supermaven's approach unifies billing but with undisclosed overage costs.
Simpler than managing separate API keys for multiple LLM providers; trade-off is undisclosed overage pricing and potential cost surprises if usage exceeds $5/month.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Individual developers and small teams using VS Code or JetBrains IDEs
- ✓Teams working on large, multi-file codebases (100+ files) where cross-file context is critical
- ✓Development teams prioritizing suggestion latency over feature breadth
- ✓Developers debugging complex issues or refactoring large sections of code
- ✓Teams using multiple LLM providers (OpenAI, Anthropic) and wanting unified interface
- ✓Developers preferring conversational problem-solving over inline suggestions
- ✓Developers debugging compiler errors in Chat
- ✓Teams using compiled languages (C++, Java, Rust, Go, etc.) where compiler diagnostics are detailed
Known Limitations
- ⚠Free tier context window size undisclosed; likely significantly smaller than 1M tokens, limiting effectiveness on large codebases despite marketing claims
- ⚠Cloud-dependent; no offline mode or local-only inference option available
- ⚠Inline completion uses single model (identity unknown); cannot switch models per-suggestion like Chat feature
- ⚠Codebase indexing mechanism undisclosed; performance degradation with codebase size approaching 1M token limit unknown
- ⚠Language support matrix not published; only TypeScript, Python, JavaScript demonstrated in examples
- ⚠Chat credits ($5/month) may be insufficient for heavy usage; overage pricing unknown
Requirements
Input / Output
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About
Fastest AI code completion. 300K token context window for understanding large codebases. Extremely low latency inline suggestions. Supports VS Code and JetBrains. Founded by the creator of Tabnine.
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