Chitu
High-performance inference framework for large language models.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Chitu?
Chitu is a high-performance inference framework designed to serve large language models efficiently and flexibly, making it ideal for deployment scenarios where performance and resource management are critical.
Key differentiator
“Chitu stands out as an open-source, high-performance inference framework that prioritizes efficiency and flexibility in model serving, making it a strong choice for teams looking to deploy large language models without the overhead of cloud services.”
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
Primary development is in C++, with limited official SDKs for other languages
Documentation lacks detailed steps for setting up across multiple nodes
Fit analysis
Who is it for?
✓ Best for
Teams needing high-performance inference for large language models without cloud dependency
Projects requiring efficient resource management in model serving
Developers looking for a flexible framework to customize their deployment scenarios
✕ Not a fit for
Scenarios where managed cloud services are preferred over self-hosted solutions
Teams with limited technical expertise to manage and optimize self-hosted deployments
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
Works well with
Integrations
Next step
Get Started with Chitu
Step-by-step setup guide with code examples and common gotchas.