Home/Compare/litellm vs xllm

Comparison

litellm vs xllm

Verdict

Pick litellm when litellm is primarily Python; xllm is C++; pick xllm when xllm is primarily C++; litellm is Python.

Markdown twin · litellm alternatives · xllm alternatives

GraphCanon updated today

litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026
vs
xllm logo

xllm

xLLM-AI/xllm

1.5kpushed Jul 10, 2026

Trust & integrity

Signallitellmxllm
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d 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)
2 low (2 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

litellm
Python SDK and Proxy Server for calling multiple LLM APIs
xllm
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.

Stars

litellm
53k
xllm
1.5k

Forks

litellm
9.7k
xllm
256

Open issues

litellm
3.9k
xllm
179

Language

litellm
Python
xllm
C++

Adopt for

litellm
litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging.
xllm
-

Persona

litellm
-
xllm
-

Runtime

litellm
-
xllm
-

License

litellm
The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source.
xllm
Apache-2.0

Last pushed

litellm
Jul 11, 2026
xllm
Jul 10, 2026

Categories

litellm
LLM Frameworks, Inference & Serving
xllm
LLM Frameworks, Inference & Serving

Trust and health

Open issues (now)

litellm
3.9k
xllm
179

Security scan

litellm
2 low (2 low)
xllm
No lockfile

Full report

Choose litellm if…

  • litellm is primarily Python; xllm is C++.
  • License: litellm is Other, xllm is Apache-2.0.
  • Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
  • Requirements: Requires Docker.
  • Tags unique to litellm: llm, bedrock, ai-gateway, openai.
  • litellm ships Docker support for self-hosted deployment.
  • When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging

When NOT to use litellm

  • If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.

Choose xllm if…

  • xllm is primarily C++; litellm is Python.
  • License: xllm is Apache-2.0, litellm is Other.
  • Tags unique to xllm: qwen, deepseek, large-language-models, c++.

When NOT to use xllm

  • 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: litellm 53k · xllm 1.5k (synced Jul 11, 2026).

Common questions

What is the difference between litellm and xllm?
litellm: Python SDK and Proxy Server for calling multiple LLM APIs. xllm: A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.. See the comparison table for live GitHub stats and shared categories.
When should I choose litellm over xllm?
Choose litellm over xllm when litellm is primarily Python; xllm is C++; License: litellm is Other, xllm is Apache-2.0; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: llm, bedrock, ai-gateway, openai; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging.
When should I choose xllm over litellm?
Choose xllm over litellm when xllm is primarily C++; litellm is Python; License: xllm is Apache-2.0, litellm is Other; Tags unique to xllm: qwen, deepseek, large-language-models, c++.
When should I avoid litellm?
If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
When should I avoid xllm?
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 litellm or xllm more popular on GitHub?
litellm has more GitHub stars (53,271 vs 1,464). Stars measure visibility, not whether either tool fits your constraints.
Are litellm and xllm open source?
Yes - both are open-source projects on GitHub (litellm: Other, xllm: Apache-2.0).
Where can I find alternatives to litellm or xllm?
GraphCanon lists graph-backed alternatives at litellm alternatives and xllm alternatives (litellm markdown twin, xllm 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, litellm or xllm?
litellm: Very active. xllm: 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 xllm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; xllm trust report.