Home/Compare/FastChat vs gpt4all

Comparison

FastChat vs gpt4all

Verdict

Pick FastChat when fastChat is primarily Python; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; FastChat is Python.

Markdown twin · FastChat alternatives · gpt4all alternatives

GraphCanon updated today

FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

SignalFastChatgpt4all
Maintenance
Steady (71d since push)
As of today · github_public_v1
Dormant (409d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

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.

Stars

FastChat
39k
gpt4all
77k

Forks

FastChat
4.8k
gpt4all
8.3k

Open issues

FastChat
1.0k
gpt4all
768

Language

FastChat
Python
gpt4all
C++

Adopt for

FastChat
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
gpt4all
-

Persona

FastChat
-
gpt4all
-

Runtime

FastChat
-
gpt4all
-

License

FastChat
Apache-2.0
gpt4all
MIT

Last pushed

FastChat
May 1, 2026
gpt4all
May 27, 2025

Categories

FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
gpt4all
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

FastChat
Steady (60%)
gpt4all
Dormant (18%)

Days since push

FastChat
71d
gpt4all
409d

Open issues (now)

FastChat
1.0k
gpt4all
768

Full report

FastChat
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: FastChat 39k · gpt4all 77k (synced Jul 11, 2026).

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 and gpt4all alternatives (FastChat markdown twin, gpt4all markdown twin), 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 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; gpt4all trust report.