--- title: "FastChat vs gpt4all" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-nomic-ai-gpt4all" tools: ["lm-sys-fastchat", "nomic-ai-gpt4all"] --- # FastChat vs gpt4all *GraphCanon updated Jul 12, 2026* ## Verdict Pick FastChat when fastChat is primarily Python; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; FastChat is Python. [FastChat](https://github.com/lm-sys/FastChat) reports 39k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [gpt4all](https://nomic.ai/gpt4all) has 77k stars, 8.3k forks, and 768 open issues, last pushed May 27, 2025. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [gpt4all's repository](https://github.com/nomic-ai/gpt4all). | | [FastChat](/tools/lm-sys-fastchat.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use. | | Stars | 39,490 | 77,386 | | Forks | 4,788 | 8,304 | | Open issues | 1,027 | 768 | | Language | Python | C++ | | Adopt for | FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Model Training, Inference & Serving, Evaluation & Observability | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 71d | 409d | | Open issues (now) | 1.0k | 768 | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/nomic-ai-gpt4all/trust.md) | ## Decision facts: FastChat - **Adopt for:** FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB ## Choose when ### Choose FastChat if… - FastChat is primarily Python; gpt4all is C++. - License: FastChat is Apache-2.0, gpt4all is MIT. - Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving. - Also covers Model Training, Evaluation & Observability. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose gpt4all if… - gpt4all is primarily C++; FastChat is Python. - License: gpt4all is MIT, FastChat is Apache-2.0. - Tags unique to gpt4all: ai-chat, c++, llm-inference. ## When NOT to use FastChat - - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on - + Mac. ## When NOT to use gpt4all - Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between FastChat and gpt4all? FastChat: An open platform for training, serving, and evaluating large language models. gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over gpt4all? Choose FastChat over gpt4all when FastChat is primarily Python; gpt4all is C++; License: FastChat is Apache-2.0, gpt4all is MIT; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose gpt4all over FastChat? Choose gpt4all over FastChat when gpt4all is primarily C++; FastChat is Python; License: gpt4all is MIT, FastChat is Apache-2.0; Tags unique to gpt4all: ai-chat, c++, llm-inference. ### When should I avoid FastChat? - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac. ### When should I avoid gpt4all? Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is FastChat or gpt4all more popular on GitHub? gpt4all has more GitHub stars (77,386 vs 39,490). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and gpt4all open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, gpt4all: MIT). ### Where can I find alternatives to FastChat or gpt4all? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [gpt4all alternatives](/tools/nomic-ai-gpt4all/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [gpt4all markdown twin](/tools/nomic-ai-gpt4all/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/lm-sys-fastchat-vs-nomic-ai-gpt4all.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or gpt4all? FastChat: Steady. gpt4all: Dormant. 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 FastChat and gpt4all? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [gpt4all trust report](/tools/nomic-ai-gpt4all/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lm-sys-fastchat`](/api/graphcanon/graph?tool=lm-sys-fastchat) - 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/_