AReaL
★ 5.9k
vs
runanywhere-sdks
★ 10.3k
AReaL vs runanywhere-sdks
AReaL: AReaL is a fully asynchronous reinforcement learning system from Tsinghua IIIS and Ant Group for training large reasoning and agentic models. Version 2.0 splits it into training, inference, agent and weight-update microservices, and black-box agent apps can be trained online by pointing their base_url at AReaL.; runanywhere-sdks: RunAnywhere provides SDKs to integrate on-device AI capabilities into mobile applications. It enables local execution of large language models, speech-to-text, and text-to-speech, ensuring privacy, offline functionality, and high performance.
01
TL;DR
AReaLLLM Infra · ★ 5.9k
RL fine-tuning of reasoning models on math and coding tasks
runanywhere-sdksLLM Infra · ★ 10.3k
When to choose:
- You are building a mobile app and want LLM chat, speech-to-text, text-to-speech or a full voice pipeline running on-device.
- Data must not leave the phone and the app must work offline.
- Your app is Swift or Kotlin (stable SDKs), or React Native or Flutter (beta).
When to skip:
- You need large-model quality: listed LLMs range from about 400 MB to 4 GB and need 0.5 to 5 GB of RAM.
- You need voices beyond English: the listed text-to-speech voices are English only.
- You want an assistant for end users rather than SDKs for developers.
02
Side-by-Side Comparison
Field
AReaLrunanywhere-sdksCategory
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 10.3k
License
Apache-2.0
NOASSERTION
Install Command
git clone https://github.com/areal-project/AReaL && cd AReaL && pip install uv && uv sync --extra cuda
npm install @runanywhere/core @runanywhere/llamacpp
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
agent, agent-framework, llm
On-device AI, LLM, Mobile SDK
03
Features
AReaL01Fully asynchronous RL training, reported 2.77x faster than synchronous systems in v0.3
02Online RL for black-box agents by replacing base_url and api_key
03Microservice architecture in 2.0 with separate training, inference, agent and weight-update services
04SGLang or vLLM inference backends, Ray clusters and Ascend NPU support
05Examples for math, SWE, search agents, tau2-bench and OpenClaw agents
runanywhere-sdks01LLM Text Generation
02Streaming
03Speech-to-Text
04Text-to-Speech
05Voice Assistant Pipeline
04
Use Cases
AReaL↳RL fine-tuning of reasoning models on math and coding tasks
↳Training multi-turn agents such as search or customer-service agents
↳Continuously improving an existing agent app via online RL
runanywhere-sdks↳LLM Chat Applications
↳Voice Assistant Integration
↳Offline AI Capabilities
05
Best For
AReaLEssentialTrending
runanywhere-sdksMost PopularEssentialTrending
FAQ
FAQ
What is the difference between AReaL and runanywhere-sdks?
Both AReaL and runanywhere-sdks are in the LLM Infra category. AReaL has 5.9k stars, while runanywhere-sdks has 10.3k stars.
Which is better, AReaL or runanywhere-sdks?
The best choice depends on your use case. Choose AReaL if RL fine-tuning of reasoning models on math and coding tasks, and runanywhere-sdks if LLM Chat Applications.
Is AReaL free or open source?
Yes, AReaL is open source on GitHub (Apache-2.0).
Is runanywhere-sdks free or open source?
Yes, runanywhere-sdks is open source on GitHub (NOASSERTION).
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