---
title: "aisix vs vllm-mlx"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-waybarrios-vllm-mlx"
tools: ["api7-aisix", "waybarrios-vllm-mlx"]
---

# aisix vs vllm-mlx

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick vllm-mlx if vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend.

[aisix](https://api7.ai/ai-gateway) reports 151 GitHub stars, 30 forks, and 106 open issues, last pushed Sep 13, 2026. [vllm-mlx](https://vllm-mlx.is-a.dev/) has 1.6k stars, 222 forks, and 121 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [vllm-mlx's repository](https://github.com/waybarrios/vllm-mlx).

| | [aisix](/tools/api7-aisix.md) | [vllm-mlx](/tools/waybarrios-vllm-mlx.md) |
| --- | --- | --- |
| Tagline | Open-source AI gateway for LLMs & AI agents | Server for LLMs and vision-language models compatible with Apple Silicon |
| Stars | 151 | 1,588 |
| Forks | 30 | 222 |
| Open issues | 106 | 121 |
| Language | Rust | Python |
| Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend. |
| Persona | - | - |
| Runtime | - | - |
| License | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | Apache-2.0 |
| Categories | AI Agents, Inference & Serving | Inference & Serving, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [aisix](/tools/api7-aisix.md) | [vllm-mlx](/tools/waybarrios-vllm-mlx.md) |
| --- | --- | --- |
| Open issues (now) | 106 | 121 |
| Stars delta | +59 (30d) | +116 (30d) |
| Open issues delta | +8 (30d) | +35 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/waybarrios-vllm-mlx/trust.md) |

## Decision facts: aisix

- **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.
- **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files
- **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers
- **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution

## Decision facts: vllm-mlx

- **Adopt for:** vllm-mlx is an open-source inference server that runs large language models and vision-language models on Apple Silicon devices with continuous batching and multimodal support using native MLX backend.

## Choose when

### Choose aisix if…

- aisix is primarily Rust; vllm-mlx is Python.
- Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model..
- Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files.
- Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible.
- Also covers AI Agents.
- aisix ships Docker support for self-hosted deployment.
- When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock

### Choose vllm-mlx if…

- vllm-mlx is primarily Python; aisix is Rust.
- Tags unique to vllm-mlx: anthropic, apple-silicon, audio-processing, claude-code.
- Also covers Model Training.
- If you need to run LLMs or vision-language models like Llama, Qwen-VL, and LLaVA efficiently on Apple Silicon devices.

## When NOT to use aisix

- If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features
- For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary

## When NOT to use vllm-mlx

- If your target environment is not an Apple device equipped with the required hardware to run models via MLX backend.
- When seeking a solution that offers high-speed token throughput beyond 400 tok/s as vllm-mlx may not be adequate for such performance needs.

## Common questions

### What is the difference between aisix and vllm-mlx?

aisix: Open-source AI gateway for LLMs & AI agents. vllm-mlx: Server for LLMs and vision-language models compatible with Apple Silicon. See the comparison table for live GitHub stats and shared categories.

### When should I choose aisix over vllm-mlx?

Choose aisix over vllm-mlx when aisix is primarily Rust; vllm-mlx is Python; Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible; Also covers AI Agents; aisix ships Docker support for self-hosted deployment; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock.

### When should I choose vllm-mlx over aisix?

Choose vllm-mlx over aisix when vllm-mlx is primarily Python; aisix is Rust; Tags unique to vllm-mlx: anthropic, apple-silicon, audio-processing, claude-code; Also covers Model Training; If you need to run LLMs or vision-language models like Llama, Qwen-VL, and LLaVA efficiently on Apple Silicon devices.

### When should I avoid aisix?

If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary

### When should I avoid vllm-mlx?

If your target environment is not an Apple device equipped with the required hardware to run models via MLX backend. When seeking a solution that offers high-speed token throughput beyond 400 tok/s as vllm-mlx may not be adequate for such performance needs.

### Is aisix or vllm-mlx more popular on GitHub?

vllm-mlx has more GitHub stars (1,588 vs 151). Stars measure visibility, not whether either tool fits your constraints.

### Are aisix and vllm-mlx open source?

Yes - both are open-source projects on GitHub (aisix: Apache-2.0, vllm-mlx: Apache-2.0).

### Where can I find alternatives to aisix or vllm-mlx?

GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [vllm-mlx alternatives](/tools/waybarrios-vllm-mlx/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [vllm-mlx markdown twin](/tools/waybarrios-vllm-mlx/alternatives.md)), 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](/compare/api7-aisix-vs-waybarrios-vllm-mlx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, aisix or vllm-mlx?

aisix: Very active. vllm-mlx: Very active. 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 aisix and vllm-mlx?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [vllm-mlx trust report](/tools/waybarrios-vllm-mlx/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=api7-aisix`](/api/graphcanon/graph?tool=api7-aisix)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_