Comparison
litellm vs modelz-llm
Verdict
Pick litellm if litellm is a Rust core with a Python SDK that serves as an AI gateway for over 100 LLM APIs, offering features like cost tracking, guardrails, load balancing, and logging; pick modelz-llm if modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Markdown twin · litellm alternatives · modelz-llm alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | litellm | modelz-llm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1073d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · 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
- The fastest, lightest AI Gateway
- modelz-llm
- OpenAI compatible API for LLMs and embeddings
Stars
- litellm
- 59k
- modelz-llm
- 274
Forks
- litellm
- 12k
- modelz-llm
- 27
Open issues
- litellm
- 5.2k
- modelz-llm
- 12
Language
- litellm
- Python
- modelz-llm
- Python
Adopt for
- litellm
- litellm is a Rust core with a Python SDK that serves as an AI gateway for over 100 LLM APIs, offering features like cost tracking, guardrails, load balancing, and logging.
- modelz-llm
- Modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Persona
- litellm
- -
- modelz-llm
- -
Runtime
- litellm
- -
- modelz-llm
- -
License
- litellm
- Other
- modelz-llm
- Apache-2.0
Last pushed
- litellm
- Sep 18, 2026
- modelz-llm
- Oct 11, 2023
Categories
- litellm
- Inference & Serving
- 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
- 1073d
Open issues (now)
- litellm
- 5.2k
- modelz-llm
- 12
Stars delta
- litellm
- +3.8k (30d)
- modelz-llm
- -2 (30d)
Open issues delta
- litellm
- +578 (30d)
- modelz-llm
- 0 (30d)
OSV dependency advisories
- litellm
- Published findings
- modelz-llm
- No published findings from this source as of 2026-09-18
Full report
- litellm
- Trust 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.
- Both provide an OpenAI-compatible API service for various LLMs.
- Tags unique to litellm: ai-gateway, anthropic, azure-openai, bedrock.
- litellm ships Docker support for self-hosted deployment.
- When you need a fast and lightweight AI gateway that supports over 100 LLM APIs in OpenAI or native format.
When NOT to use litellm
- If you are working in an environment where Rust or Python is not supported or preferred.
- When you need a tool that is not focused on performance and lightweight operations, as litellm is optimized for speed and efficiency.
- If you require a tool that does not support a wide range of LLM APIs and providers, as litellm is designed to work with over 100 APIs.
- When you need a tool that does not offer cost tracking, guardrails, load balancing, and logging, as these are key features of litellm.
Choose modelz-llm if…
- License: modelz-llm is Apache-2.0, litellm is Other.
- Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support..
- Both provide an OpenAI-compatible API service for various LLMs.
- Tags unique to modelz-llm: nlp, openai-api, transformer.
- Also covers LLM Frameworks.
- When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
When NOT to use modelz-llm
- If your project specifically requires a different API format that is not compatible with OpenAI's API.
- When the specific models supported by Modelz-llm do not meet your project's needs.
- If you are working in a non-Python environment and cannot use Python packages.
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 Sep 20, 2026
- GitHub forks (BerriAI/litellm) · observed Sep 20, 2026
- Last push (BerriAI/litellm) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Sep 20, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Sep 20, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: litellm 59k · modelz-llm 274 (synced Sep 20, 2026).
Common questions
- What is the difference between litellm and modelz-llm?
- litellm: The fastest, lightest AI Gateway. 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; Both provide an OpenAI-compatible API service for various LLMs; Tags unique to litellm: ai-gateway, anthropic, azure-openai, bedrock; litellm ships Docker support for self-hosted deployment; When you need a fast and lightweight AI gateway that supports over 100 LLM APIs in OpenAI or native format.
- When should I choose modelz-llm over litellm?
- Choose modelz-llm over litellm when License: modelz-llm is Apache-2.0, litellm is Other; Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support.; Both provide an OpenAI-compatible API service for various LLMs; Tags unique to modelz-llm: nlp, openai-api, transformer; Also covers LLM Frameworks; When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
- When should I avoid litellm?
- If you are working in an environment where Rust or Python is not supported or preferred. When you need a tool that is not focused on performance and lightweight operations, as litellm is optimized for speed and efficiency. If you require a tool that does not support a wide range of LLM APIs and providers, as litellm is designed to work with over 100 APIs. When you need a tool that does not offer cost tracking, guardrails, load balancing, and logging, as these are key features of litellm.
- When should I avoid modelz-llm?
- If your project specifically requires a different API format that is not compatible with OpenAI's API. When the specific models supported by Modelz-llm do not meet your project's needs. If you are working in a non-Python environment and cannot use Python packages.
- Is litellm or modelz-llm more popular on GitHub?
- litellm has more GitHub stars (59,051 vs 274). 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.