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
Trust & integrity
| Signal | litellm | modelz-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
- litellm
- Trust report
- modelz-llm
- Trust report
Typed relationship
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 (BerriAI/litellm) · observed Jul 11, 2026
- GitHub forks (BerriAI/litellm) · observed Jul 11, 2026
- Last push (BerriAI/litellm) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Jul 11, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Jul 11, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.