Gateway vs llama.cpp

Side-by-side — pricing, strengths, tradeoffs, and fit.

Gateway

Blazing Fast AI Gateway for routing to over 100 LLMs with a single API.

llama.cpp

LLM inference in C/C++ for efficient model deployment.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Blazing Fast AI Gateway for routing to over 100 LLMs with a single API.

One-liner

LLM inference in C/C++ for efficient model deployment.

Maturity

Established

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to integrate multiple large language models into their applications and want a single, fast API.
Teams working on AI projects that require quick access to various LLMs without managing individual APIs.
Projects where performance in routing requests is critical.

✓ Best for

Teams needing to deploy LLMs locally with minimal resources
Projects focused on edge computing where low latency is critical
Developers working in environments without reliable internet access

Not ideal for

✕ Not for

Scenarios requiring real-time streaming capabilities as Gateway focuses on request-based operations.
Use cases needing a managed service with built-in support and maintenance, as Gateway requires self-hosting.

✕ Not for

Applications requiring real-time streaming capabilities
Scenarios where cloud-based services offer better performance or scalability

Strengths

↑ Strengths

Supports over 100 LLMs with a single API.
Blazing fast performance for routing requests.
Easy to integrate into existing applications.
Open-source and community-driven development.

↑ Strengths

High performance inference for LLMs in C/C++
Low resource consumption, suitable for edge devices
Flexibility to integrate with various hardware setups

Weaknesses

↓ Weaknesses

Small community and limited third-party integrations

↓ Weaknesses

Steep learning curve for non-C/C++ developers
Limited community support and documentation
Complex setup process for non-standard hardware configurations
Performance may degrade on less powerful hardware
Full Gateway profile →Full llama.cpp profile →