lmms-eval
Multimodal Evaluation Toolkit for Text, Image, Video, and Audio Tasks
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is lmms-eval?
lmms-eval is a comprehensive evaluation toolkit designed to assess the performance of multimodal models across various tasks including text, image, video, and audio. It provides developers with a unified framework to evaluate different aspects of their models efficiently.
Key differentiator
“lmms-eval stands out as a comprehensive and extensible toolkit for evaluating multimodal models, offering support across text, image, video, and audio tasks in one unified framework.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Examples and tutorials are sparse for integrating custom metrics or handling complex multimodal tasks
Evaluation processes can become slow when dealing with high-resolution video or audio data
Fit analysis
Who is it for?
✓ Best for
Research teams needing a comprehensive evaluation toolkit for multimodal tasks
Developers working on projects that require performance assessment of models across different modalities
✕ Not a fit for
Teams requiring real-time model evaluation (batch processing only)
Projects with strict licensing requirements incompatible with NOASSERTION license
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Integrations
Next step
Get Started with lmms-eval
Step-by-step setup guide with code examples and common gotchas.