Real Time Token Counter In Status Bar

via “real-time token usage tracking and status bar display”

An extension that integrates OpenAI/Ollama/Anthropic/Gemini API Providers into GitHub Copilot Chat

Unique: Integrates token usage tracking directly into VS Code's status bar for always-visible cost awareness. Supports multiple providers simultaneously, enabling side-by-side cost comparison without switching contexts.

vs others: Unlike provider dashboards that require context switching, this embeds cost visibility directly in the editor, making token consumption a first-class concern in the development workflow.

via “real-time token counter in status bar”

A simplistic AI code generator with 2 commands (create, ask) and a token counter diaplyed in status bar

Unique: Provides real-time, always-visible token counting in the status bar without requiring a separate command or UI panel. Uses language-aware tokenization to account for syntax and formatting, giving developers accurate estimates for their specific language.

vs others: More convenient than manual token counting tools or OpenAI's tokenizer playground because it integrates directly into the editor and updates automatically, but less accurate than actual API tokenization because it cannot account for system prompts or API-specific overhead.

via “real-time token count and cost estimation in status bar”

OpenClaude VS Code: AI coding assistant powered by any LLM

Unique: Integrates token counting and cost estimation directly into VS Code's status bar, providing always-visible cost awareness without requiring a separate dashboard; uses provider-specific tokenizers for accuracy rather than generic approximations

vs others: More transparent than GitHub Copilot (which hides costs); more integrated than external cost-tracking tools; real-time updates provide immediate feedback on cost impact of context decisions

via “real-time local token counting with live status bar display”

Live Token Counter for Language Models

Unique: Uses embedded local tokenizers (tiktoken, Anthropic official tokenizer) with zero API calls, enabling instant token counting without latency or authentication overhead. Template-based status bar customization allows developers to display token counts in custom formats without code changes.

vs others: Faster and more privacy-preserving than cloud-based token counters (e.g., OpenAI Tokenizer web tool) because all processing happens locally in VS Code with no network requests; supports three major model families simultaneously with instant switching.