Home/Compare/litellm vs modelz-llm

Comparison

litellm vs modelz-llm

Verdict

Pick litellm if 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; pick modelz-llm if modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.

Markdown twin · litellm alternatives · modelz-llm alternatives

GraphCanon updated today

litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026
vs
modelz-llm logo

modelz-llm

tensorchord/modelz-llm

276pushed Oct 11, 2023

Trust & integrity

Signallitellmmodelz-llm
Maintenance
Very active (0d since push)
As of 6d · github_public_v1
Dormant (1004d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 6d · github_public_v1
Not a fork · Organization account
As of 5d · github_public_v1
OSV dependency advisories
Published findings
As of 6d · osv@v1
No published findings from this source as of 2026-07-11
As of 5d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

litellm
Python SDK and Proxy Server for calling multiple LLM APIs
modelz-llm
OpenAI compatible API for LLMs and embeddings

Stars

litellm
53k
modelz-llm
276

Forks

litellm
9.7k
modelz-llm
27

Open issues

litellm
3.9k
modelz-llm
12

Language

litellm
Python
modelz-llm
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.
modelz-llm
Modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.

Persona

litellm
-
modelz-llm
-

Runtime

litellm
-
modelz-llm
-

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.
modelz-llm
Apache-2.0

Last pushed

litellm
Jul 11, 2026
modelz-llm
Oct 11, 2023

Categories

litellm
Inference & Serving, LLM Frameworks
modelz-llm
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

litellm
Very active (96%)
modelz-llm
Dormant (18%)

Days since push

litellm
0d
modelz-llm
1004d

Open issues (now)

litellm
3.9k
modelz-llm
12

OSV dependency advisories

litellm
Published findings
modelz-llm
No published findings from this source as of 2026-07-11

Full report

modelz-llm
Trust report

Typed relationship

litellm alternative modelz-llmBoth provide an OpenAI-compatible API service for various LLMs.

Choose litellm if…

  • License: litellm is Other, modelz-llm is Apache-2.0.
  • Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
  • Requirements: Requires Docker.
  • Both provide an OpenAI-compatible API service for various LLMs.
  • Tags unique to litellm: ai-gateway, azure-openai, bedrock, 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 modelz-llm if…

  • License: modelz-llm is Apache-2.0, litellm is Other.
  • Both provide an OpenAI-compatible API service for various LLMs.
  • Tags unique to modelz-llm: nlp, openai-api, transformer.
  • When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema

When NOT to use modelz-llm

  • Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm
  • If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions

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 · modelz-llm 276 (synced Jul 11, 2026).

Common questions

What is the difference between litellm and modelz-llm?
litellm: Python SDK and Proxy Server for calling multiple LLM APIs. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories.
When should I choose litellm over modelz-llm?
Choose litellm over modelz-llm when License: litellm is Other, modelz-llm is Apache-2.0; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Both provide an OpenAI-compatible API service for various LLMs; Tags unique to litellm: ai-gateway, azure-openai, bedrock, 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 modelz-llm over litellm?
Choose modelz-llm over litellm when License: modelz-llm is Apache-2.0, litellm is Other; Both provide an OpenAI-compatible API service for various LLMs; Tags unique to modelz-llm: nlp, openai-api, transformer; When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema.
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 modelz-llm?
Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions
Is litellm or modelz-llm more popular on GitHub?
litellm has more GitHub stars (53,271 vs 276). Stars measure visibility, not whether either tool fits your constraints.
Are litellm and modelz-llm open source?
Yes - both are open-source projects on GitHub (litellm: Other, modelz-llm: Apache-2.0).
Where can I find alternatives to litellm or modelz-llm?
GraphCanon lists graph-backed alternatives at litellm alternatives and modelz-llm alternatives (litellm markdown twin, modelz-llm 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 modelz-llm?
litellm: Very active. modelz-llm: 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 litellm and modelz-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; modelz-llm trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.