--- title: "llamafile vs faster-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mozilla-ai-llamafile-vs-systran-faster-whisper" tools: ["mozilla-ai-llamafile", "systran-faster-whisper"] --- # llamafile vs faster-whisper *GraphCanon updated Jul 12, 2026* ## Verdict Pick llamafile when llamafile is primarily C++; faster-whisper is Python; pick faster-whisper when faster-whisper is primarily Python; llamafile is C++. [llamafile](https://docs.mozilla.ai/llamafile) reports 25k GitHub stars, 1.6k forks, and 212 open issues, last pushed Jul 2, 2026. [faster-whisper](https://github.com/SYSTRAN/faster-whisper) has 24k stars, 2.0k forks, and 311 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [llamafile's repository](https://github.com/mozilla-ai/llamafile) and [faster-whisper's repository](https://github.com/SYSTRAN/faster-whisper). | | [llamafile](/tools/mozilla-ai-llamafile.md) | [faster-whisper](/tools/systran-faster-whisper.md) | | --- | --- | --- | | Tagline | Distribute and run LLMs with a single file. | Faster Whisper transcription with CTranslate2 | | Stars | 25,361 | 24,214 | | Forks | 1,586 | 1,976 | | Open issues | 212 | 311 | | Language | C++ | Python | | Adopt for | - | A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Inference & Serving, LLM Frameworks, Speech & Audio | Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llamafile](/tools/mozilla-ai-llamafile.md) | [faster-whisper](/tools/systran-faster-whisper.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 8d | 234d | | Open issues (now) | 212 | 311 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/mozilla-ai-llamafile/trust.md) | [trust report](/tools/systran-faster-whisper/trust.md) | ## Decision facts: faster-whisper - **Requirements:** Requires Python 3.9 or higher - **Adopt for:** A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ## Choose when ### Choose llamafile if… - llamafile is primarily C++; faster-whisper is Python. - License: llamafile is Other, faster-whisper is MIT. - Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai. - Also covers LLM Frameworks. ### Choose faster-whisper if… - faster-whisper is primarily Python; llamafile is C++. - License: faster-whisper is MIT, llamafile is Other. - Requirements: Requires Python 3.9 or higher. - Tags unique to faster-whisper: deep-learning, inference, openai, quantization. - A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ## When NOT to use llamafile - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use faster-whisper - * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. - * In environments where additional dependencies from PyAV may introduce complexity or issues. ## Common questions ### What is the difference between llamafile and faster-whisper? llamafile: Distribute and run LLMs with a single file.. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories. ### When should I choose llamafile over faster-whisper? Choose llamafile over faster-whisper when llamafile is primarily C++; faster-whisper is Python; License: llamafile is Other, faster-whisper is MIT; Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai; Also covers LLM Frameworks. ### When should I choose faster-whisper over llamafile? Choose faster-whisper over llamafile when faster-whisper is primarily Python; llamafile is C++; License: faster-whisper is MIT, llamafile is Other; Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ### When should I avoid llamafile? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid faster-whisper? * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues. ### Is llamafile or faster-whisper more popular on GitHub? llamafile has more GitHub stars (25,361 vs 24,214). Stars measure visibility, not whether either tool fits your constraints. ### Are llamafile and faster-whisper open source? Yes - both are open-source projects on GitHub (llamafile: Other, faster-whisper: MIT). ### Where can I find alternatives to llamafile or faster-whisper? GraphCanon lists graph-backed alternatives at [llamafile alternatives](/tools/mozilla-ai-llamafile/alternatives) and [faster-whisper alternatives](/tools/systran-faster-whisper/alternatives) ([llamafile markdown twin](/tools/mozilla-ai-llamafile/alternatives.md), [faster-whisper markdown twin](/tools/systran-faster-whisper/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/mozilla-ai-llamafile-vs-systran-faster-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llamafile or faster-whisper? llamafile: Active. faster-whisper: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for llamafile and faster-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llamafile trust report](/tools/mozilla-ai-llamafile/trust); [faster-whisper trust report](/tools/systran-faster-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mozilla-ai-llamafile`](/api/graphcanon/graph?tool=mozilla-ai-llamafile) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_