Home/Compare/litellm vs inference

Comparison

litellm vs inference

Verdict

Pick litellm when license: litellm is Other, inference is Apache-2.0; pick inference when license: inference is Apache-2.0, litellm is Other.

Markdown twin · litellm alternatives · inference alternatives

GraphCanon updated today

litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026
vs
inference logo

inference

xorbitsai/inference

9.4kpushed Jul 11, 2026

Trust & integrity

Signallitellminference
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 1d · osv@v1
No lockfile
As of today · none

Tagline

litellm
Python SDK and Proxy Server for calling multiple LLM APIs
inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready

Stars

litellm
53k
inference
9.4k

Forks

litellm
9.7k
inference
846

Open issues

litellm
3.9k
inference
50

Language

litellm
Python
inference
Python

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.
inference
-

Persona

litellm
-
inference
-

Runtime

litellm
-
inference
-

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.
inference
Apache-2.0

Last pushed

litellm
Jul 11, 2026
inference
Jul 11, 2026

Categories

litellm
Inference & Serving, LLM Frameworks
inference
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Open issues (now)

litellm
3.9k
inference
50

Security scan

litellm
2 low (2 low)
inference
No lockfile

Full report

inference
Trust report

Choose litellm if…

  • License: litellm is Other, inference 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: ai-gateway, azure-openai, bedrock, llm.
  • 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 inference if…

  • License: inference is Apache-2.0, litellm is Other.
  • Tags unique to inference: artificial-intelligence, chatglm, deployment, flan-t5.
  • Also covers Model Training.

When NOT to use inference

  • 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.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

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 · inference 9.4k (synced Jul 11, 2026).

Common questions

What is the difference between litellm and inference?
litellm: Python SDK and Proxy Server for calling multiple LLM APIs. inference: Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready. See the comparison table for live GitHub stats and shared categories.
When should I choose litellm over inference?
Choose litellm over inference when License: litellm is Other, inference 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: ai-gateway, azure-openai, bedrock, llm; 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 inference over litellm?
Choose inference over litellm when License: inference is Apache-2.0, litellm is Other; Tags unique to inference: artificial-intelligence, chatglm, deployment, flan-t5; Also covers Model Training.
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 inference?
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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is litellm or inference more popular on GitHub?
litellm has more GitHub stars (53,271 vs 9,423). Stars measure visibility, not whether either tool fits your constraints.
Are litellm and inference open source?
Yes - both are open-source projects on GitHub (litellm: Other, inference: Apache-2.0).
Where can I find alternatives to litellm or inference?
GraphCanon lists graph-backed alternatives at litellm alternatives and inference alternatives (litellm markdown twin, inference 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 inference?
litellm: Very active. inference: 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 inference?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; inference trust report.