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liteLLM

One library to standardize all LLM APIs

★★★★★ 5.0/5
FactScore™ 62.8
VS

VMTP

Video understanding for LLMs

FactScore™ 0

Updated February 2026

liteLLM VMTP
Rating 5.0★ N/A
Reviews 17 0
Pros 8 0
FactScore™ 62.8 0

FactScore™ Comparison

FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.

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62.8
liteLLM FactScore™
★ liteLLM wins on FactScore™
—
VMTP FactScore™

Pros & Cons

Only in liteLLM — Pros

Support for custom models Caching and load balancing Easy provider switching OpenAI-compatible API Performance analysis integration Standardized API Unified interface for LLMs Versatile API calling

Both tools — Pros

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Only in VMTP — Pros

No unique pros listed

Only in liteLLM — Cons

—

Both tools — Cons

—

Only in VMTP — Cons

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Details

liteLLM VMTP
Categories Unified API, AI Infrastructure Tools Unified API, AI Infrastructure Tools, Cloud Computing Platforms
Platforms Web Web
Became Popular August 9, 2023 January 27, 2025
Website github.com deeptrain.org

Who Should Pick Which?

Choose liteLLM if...

  • Support for custom models
  • Caching and load balancing
  • Easy provider switching

Choose VMTP if...

  • No unique pros listed

With a FactScore™ of 62.8 vs 0, liteLLM leads in community reception. liteLLM uniquely offers Support for custom models and Caching and load balancing, while VMTP stands out for No unique pros listed.

3

What Users Say

liteLLM

M
Miguel Feb 6, 2025
★★★★★

liteLLM is a must for working with different models. We use different models for different tasks and subtasks. With liteLLM the code stays exactly the same and we can just focus on choosing the rig...

A
Ahmed Oct 2, 2025
★★★★★

Big fan of liteLLM: one API for OpenAI/Anthropic/Groq/etc. Makes multi-model stacks painless

A
Ali May 6, 2024
★★★★★

I find myself recommending this library to serious LLM-powered app developers that are trying to standardize their codebase by unifying all the APIs they use. Love it!

VMTP

No reviews yet

Frequently Asked Questions

Which is better, liteLLM or VMTP?

Based on FactScore™, liteLLM leads with a score of 62.8 vs 0. liteLLM has a higher rating of 5.0★ compared to N/A★.

What are the pros of liteLLM compared to VMTP?

liteLLM uniquely offers: Support for custom models, Caching and load balancing, Easy provider switching, OpenAI-compatible API, Performance analysis integration.

What are the pros of VMTP compared to liteLLM?

VMTP uniquely offers: No unique pros listed.

Is liteLLM better rated than VMTP?

liteLLM is rated 5.0★ from 17 reviews. VMTP is rated N/A★ from 0 reviews.

What is the FactScore™ of liteLLM and VMTP?

FactScore™ weighs rating and review volume together. liteLLM scores 62.8 and VMTP scores 0.

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