Comparison
litellm vs litgpt
litellm (LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs) vs litgpt (20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale.) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · litellm alternatives · litgpt alternatives
GraphCanon updated today
Tagline
- litellm
- LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs
- litgpt
- 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale.
Stars
- litellm
- 53k
- litgpt
- 13k
Forks
- litellm
- 9.6k
- litgpt
- 1.5k
Open issues
- litellm
- 3.7k
- litgpt
- 266
Language
- litellm
- Python
- litgpt
- Python
Adopt for
- litellm
- LiteLLM provides an open-source AI gateway for over 100 LLMs, integrating them via OpenAI format and offering features like cost tracking, guardrails, load balancing, and logging.
- litgpt
- LitGPT is a repository that provides over 20 implementations of high-performance large language models (LLMs) with detailed instructions on how to preprocess, fine-tune, and deploy them at scale. It focuses on minimal, '
Persona
- litellm
- -
- litgpt
- -
Runtime
- litellm
- -
- litgpt
- -
License
- litellm
- The specific license details are categorized as 'Other', indicating it's neither a standard open-source license like MIT, Apache 2.0 nor GPL. It’s crucial to check the precise licensing terms directly
- litgpt
- Apache-2.0
Last pushed
- litellm
- Jul 8, 2026
- litgpt
- Jul 6, 2026
Categories
- litellm
- Inference & Serving
- litgpt
- LLM Frameworks, Model Training, Inference & Serving
Trust and health
Days since push
- litellm
- 0d
- litgpt
- 2d
Open issues (now)
- litellm
- 3.7k
- litgpt
- 266
Security scan
- litellm
- 2 low (2 low)
- litgpt
- Not scanned
Full report
- litellm
- Trust report
- litgpt
- Trust report
Typed relationship
litellm alternative litgptBoth LitELL and LitGPT provide access to a variety of language models, but LitGPT may focus more on pretraining, fine-tuning, and deployment capabilities tailored for high-performance and scalability.
Shared compatibility
- Python · litellm: Python runtime · litgpt: Python runtime
Choose litellm if…
- License: litellm is Other, litgpt is Apache-2.0.
- Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls..
- Both LitELL and LitGPT provide access to a variety of language models, but LitGPT may focus more on pretraining, fine-tuning, and deployment capabilities tailored for high-performance and scalability.
- Tags unique to litellm: llmops, rust, bedrock, ai-gateway.
- litellm ships Docker support for self-hosted deployment.
- - You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format.
When NOT to use litellm
- - If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface.
- - Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives.
Choose litgpt if…
- License: litgpt is Apache-2.0, litellm is Other.
- Both LitELL and LitGPT provide access to a variety of language models, but LitGPT may focus more on pretraining, fine-tuning, and deployment capabilities tailored for high-performance and scalability.
- Tags unique to litgpt: deep-learning, ai, large-language-models, llm-inference.
- Also covers LLM Frameworks, Model Training.
- When needing extensive customization options for large language model training.
When NOT to use litgpt
- Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism).
- Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0.
- If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach.
Explore
litellm trust report →litgpt trust report →Inference & Serving category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between litellm and litgpt?
- litellm: LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs. litgpt: 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale.. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over litgpt?
- Choose litellm over litgpt when License: litellm is Other, litgpt is Apache-2.0; Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls.; Both LitELL and LitGPT provide access to a variety of language models, but LitGPT may focus more on pretraining, fine-tuning, and deployment capabilities tailored for high-performance and scalability; Tags unique to litellm: llmops, rust, bedrock, ai-gateway; litellm ships Docker support for self-hosted deployment; - You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format.
- When should I choose litgpt over litellm?
- Choose litgpt over litellm when License: litgpt is Apache-2.0, litellm is Other; Both LitELL and LitGPT provide access to a variety of language models, but LitGPT may focus more on pretraining, fine-tuning, and deployment capabilities tailored for high-performance and scalability; Tags unique to litgpt: deep-learning, ai, large-language-models, llm-inference; Also covers LLM Frameworks, Model Training; When needing extensive customization options for large language model training.
- When should I avoid litellm?
- - If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface. - Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives.
- When should I avoid litgpt?
- Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism). Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0. If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach.
- Is litellm or litgpt more popular on GitHub?
- litellm has more GitHub stars (52,933 vs 13,467). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and litgpt open source?
- Yes - both are open-source projects on GitHub (litellm: Other, litgpt: Apache-2.0).
- Where can I find alternatives to litellm or litgpt?
- GraphCanon lists graph-backed alternatives at /tools/berriai-litellm/alternatives and /tools/lightning-ai-litgpt/alternatives (/tools/berriai-litellm/alternatives.md, /tools/lightning-ai-litgpt/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 /compare/berriai-litellm-vs-lightning-ai-litgpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, litellm or litgpt?
- litellm: Very active. litgpt: Very active. 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 litellm and litgpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm: /tools/berriai-litellm/trust; litgpt: /tools/lightning-ai-litgpt/trust.