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ease
features
design
support

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Description

BaseRT offers a robust inference runtime for LLMs specifically optimized for Apple Silicon, allowing developers to seamlessly access models from Hugging Face, engage in local conversations, or utilize an API compatible with OpenAI through a single command-line interface. Enhanced by meticulously crafted Metal kernels, BaseRT aims to provide exceptional prefill and decoding efficiency on M-series Macs, with benchmark results indicating it performs up to 6.4 times faster in prefill tasks compared to llama.cpp, 3.9 times faster than MLX, and achieves a decoding speed that is 1.33 times quicker. The basert CLI is equipped to manage tasks such as model downloading, conversion, interactive chat, serving capabilities, completion generation, benchmarking, inspection, and bundle signing. Its server functionalities are extensive, encompassing chat interactions, text completions, embeddings, transcription services, tool calls, continuous batching, paged key-value caching, and prefix caching, with support for models that can handle text, vision, and audio data. BaseRT employs a proprietary .base model format that incorporates Q2–Q8 affine quantization, optional AWQ calibration, and signed bundles, and it is capable of converting GGUF, Hugging Face, and MLX checkpoints. Furthermore, this innovative runtime is tailored to maximize the capabilities of Apple Silicon, making it an essential tool for developers in the AI space.

Description

Qwen3.5-Plus is an advanced multimodal foundation model engineered to deliver efficient large-context reasoning across text, image, and video inputs. Powered by a hybrid architecture that merges linear attention mechanisms with a sparse mixture-of-experts framework, the model achieves state-of-the-art performance while reducing computational overhead. It supports deep thinking mode, enabling extended reasoning chains of up to 80K tokens and total context windows of up to 1 million tokens. Developers can leverage features such as structured output generation, function calling, web search, and integrated code interpretation to build intelligent agent workflows. The model is optimized for high throughput, supporting large token-per-minute limits and robust rate limits for enterprise-scale applications. Qwen3.5-Plus also includes explicit caching options to reduce costs during repeated inference tasks. With tiered pricing based on input and output tokens, organizations can scale usage predictably. OpenAI-compatible API endpoints make integration straightforward across existing AI stacks and developer tools. Designed for demanding applications, Qwen3.5-Plus excels in long-document analysis, multimodal reasoning, and advanced AI agent development.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Qwen3.5 Yes 
Alibaba AI Coding Plan No 
Alibaba Cloud Model Studio No 
Gemma 3 Yes 
Gemma 4 Yes 
Hugging Face Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
Mistral AI Yes 
OpenAI Yes 
OpenClaw No 
Phi-3 Yes 
Qwen3 Yes 
Qwen3.6 Yes 
Shiori No 
Tabbit Browser No 

Integrations

Qwen3.5 Yes 
Alibaba AI Coding Plan Yes 
Alibaba Cloud Model Studio Yes 
Gemma 3 No 
Gemma 4 No 
Hugging Face No 
Llama 3.1 No 
Llama 3.2 No 
Mistral AI No 
OpenAI No 
OpenClaw Yes 
Phi-3 No 
Qwen3 No 
Qwen3.6 No 
Shiori Yes 
Tabbit Browser Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Base Compute

Founded

2026

Country

Australia

Website

www.basecompute.co/getbasert

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

Product Features

Product Features

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