AI tool comparison
Claude Code Local vs Jan
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Claude Code Local
Run Claude Code 100% on-device on Apple Silicon — zero API calls
75%
Panel ship
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Community
Free
Entry
Claude Code Local turns your MacBook into a fully self-contained Claude Code environment, replacing the Anthropic API backend with locally-running models on Apple Silicon. Choose from Qwen 3.5 122B (65 tok/s), Llama 3.3 70B (7 tok/s), or Gemma 4 31B (15 tok/s) — all running via the MLX framework on your GPU, no internet required. Four operating modes are included: standard IDE coding, browser automation agent, hands-free voice with voice cloning, and an iMessage pipeline integration. The privacy commitment is absolute — zero outbound network calls from the project's own code. The only exception is a one-time startup handshake to verify Claude Code's binary. Purpose-built for NDA environments, legal workflows, and healthcare use cases where sending code to a cloud API is a non-starter. With 2,300+ stars and 453 forks, Claude Code Local is quietly becoming the go-to for privacy-conscious developers. Version 2 fixed critical tool-call formatting bugs that caused infinite loops in local models, and a 98/98 test suite pass rate suggests production readiness.
Developer Tools
Jan
Open-source ChatGPT alternative that runs locally
100%
Panel ship
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Community
Free
Entry
Jan is an open-source desktop app for running AI models locally. Privacy-focused with no data leaving your machine. Supports popular models and extensions for custom workflows.
Reviewer scorecard
“65 tok/s Qwen locally is actually usable for real coding — the v2 fixes to tool-call formatting make a huge difference. For NDA client work where I can't send code to Anthropic, this has become essential. The MLX optimization is genuinely impressive engineering.”
“Local models still lag behind Claude 3.5 Sonnet significantly on complex coding tasks. You're trading quality for privacy and cost savings — a reasonable trade for some, but a painful one for gnarly refactoring jobs. The gap is real and matters.”
“This fills a real gap in the ecosystem. Worth adopting early.”
“When you can run a 122B model at 65 tok/s on a laptop, the question of 'cloud vs local' becomes a policy choice, not a capability choice. This project shows that frontier AI is commoditizing faster than most vendors want to admit.”
“The hands-free voice mode with voice cloning is the sleeper feature — coding by talking to your Mac is surreal and surprisingly productive. For accessibility-focused builders and creative technologists, this opens doors that cloud API pricing keeps shut.”
“The team ships fast and responds to feedback. Good sign.”
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