Qwen3.5-35B-A3B is a 35B parameter mixture-of-experts transformer model designed for fast local inference, particularly on Apple Silicon. Below are 29 foundation models & chat apps with similar functionality to Qwen3.5 35B A3B, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3.6-35B-A3B is a large-scale open-source language model designed for advanced natural language processing tasks. It supports local inference and is suitable for research, prototyping, and integration into custom NLP applications.
Qwen3.5-2B is an open-source multimodal language model checkpoint supporting both text and image inputs. It is designed for developers and researchers who require advanced transformer models for natural language and vision tasks, with efficient local inference.
Qwen3.6-27B is a 27B parameter transformer-based language model optimized for fast local inference, especially on Apple Silicon hardware. It supports advanced text generation and reasoning tasks for developers and researchers.
Qwen3.6-35B-A3B is an open-source large language model designed for text generation and AI research. It provides pretrained weights, supports fine-tuning, and can be run locally via CLI or Docker, making it ideal for AI researchers and developers.
Qwen3.5-2B-Base is a 2B parameter transformer model supporting both text and image generation. It is optimized for local inference and serves as a base for research, completion-style prompting, or further fine-tuning.
Qwen3.6-35B-A3B-vram13-GGUF is a quantized mixture-of-experts large language model designed to fit entirely in VRAM for efficient local inference. It enables developers and researchers to run advanced text generation models on consumer-grade GPUs without offloading, using the GGUF format and llama.cpp compatibility.
Qwen3.6-35B-A3B is a large language model released by the Qwen team, available on Hugging Face for research and development. It supports text generation tasks and can be run locally via CLI or Docker, or integrated via API. The model is open-source and designed for AI researchers and developers seeking a high-capacity, customizable LLM.
Qwen3-30B-A3B is an open-source large language model designed for advanced text generation. Distributed under the Apache 2.0 license, it can be used locally or via cloud APIs, making it suitable for developers and researchers seeking customizable AI solutions.
Qwen3.5-9B is an open-source large language model released on Hugging Face, designed for text generation and inference tasks. It can be run locally or integrated into custom ML pipelines, supporting fine-tuning and quantization. Ideal for machine learning engineers seeking a flexible, self-hosted LLM.
Qwen3.6-27B is a large-scale open-source language model for advanced NLP tasks. It supports local inference and is suitable for research, prototyping, and integration into custom applications.
Qwen3.6-35B-A3B-FP8 is a quantized version of the Qwen3.6-35B-A3B large language model, using FP8 format for improved efficiency. It is open-source and suitable for local deployment in advanced NLP applications.
qwen3.6-35b-a3b-arfp4-ebssmix-g64r256 is an open-source large language model designed for advanced text generation tasks. It is suitable for AI researchers and developers who require high-capacity transformer models for experimentation and deployment.
Qwen3.5-397B-A17B is a large language model checkpoint designed for local inference and CLI-based workflows. It enables developers and researchers to run advanced language models on their own hardware for experimentation and application development.
Qwen3.6-35B-A3B-MLX-VQ-3.4bpw is an open-source large language model available on Hugging Face, designed for natural language processing tasks. It supports local inference and can be integrated via API or CLI for research and development purposes. The model is suitable for AI researchers and developers seeking customizable LLMs.
raulvidis/Qwen3.6-35B-A3B-ROCmFP4_FAST-GGUF is an open-source large language model designed for local inference and text generation. It is suitable for AI researchers and developers seeking to run LLMs on their own hardware for experimentation or application development.
Qwen3.6-35B-A3B-CompQuant-MLX-3bit is an open-source, quantized large language model optimized for local inference. It features 3-bit compression and MLX compatibility, making it suitable for researchers and developers needing efficient LLMs.
Qwen3.5-4B-EU-Q4_K_M-GGUF is an open-source, multilingual AI model designed for text generation tasks. It supports local inference and is suitable for developers and researchers working with European languages. Distributed under the Apache 2.0 license.
Qwen3.5-35B-A3B-AutoRound-W4A16-RTN is an open-source large language model for text generation. It is designed for developers and researchers seeking a customizable model for NLP tasks and is available for installation via pip.
Qwen3.6-35B-A3B-MLX-VQ-2.6bpw is an open-source large language model checkpoint hosted on Hugging Face. It enables developers and researchers to download, fine-tune, and deploy advanced text generation models for various AI applications. The model is distributed with open weights for experimentation and integration into custom workflows.
Qwen3.5-122B-A10B is an open-source large language model hosted on Hugging Face, designed for local text generation and experimentation. It provides downloadable model weights and supports local inference for AI researchers and developers.
Qwen3.6-35B-A3B-YOYO-V2-i1-GGUF is an open-source large language model distributed in GGUF format for efficient local inference and CLI/API integration. It is suitable for developers and researchers seeking customizable text generation capabilities.
Qwen3.6-27B is a large open-source language model released by Qwen, available via Hugging Face. It supports both local and cloud inference, with open weights for research and commercial use. Developers can install it using pip or Docker and integrate it into their AI workflows.
Qwen3.6-27B-AutoRound-W4A16 is a quantized version of the Qwen 3.6 27B language model, designed for efficient local inference and text generation. It is open source and suitable for developers and researchers building custom AI solutions.
Qwen3.5-4B-Q4_K_M-GGUF is an open-source, quantized large language model distributed for local inference. It supports integration with CLI tools and is suitable for developers seeking efficient, local LLM solutions for conversational AI and automation.
Qwen3.5-9B-quantized.w4a16 is a quantized version of the Qwen3.5-9B large language model, optimized for efficient local inference and text generation. It is suitable for developers and researchers who require high-performance LLMs on local or resource-constrained hardware.
Qwen3-8B-Base is an open-source large language model designed for text generation, research, and AI development. It provides pretrained weights and supports integration via Python or Docker, making it suitable for researchers and developers building custom NLP solutions.
Qwen3.6-27B-FP8 is an open-source large language model distributed via Hugging Face. It supports FP8 quantization for efficient local inference and is suitable for research and development purposes. The model is accessible to AI researchers and developers.
Qwen3.5-35B-A3B-AutoRound-MXFP4-ModelFree is an open-source large language and vision model supporting text, image, and video modalities. It is designed for developers and researchers to build and experiment with advanced AI applications.
Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.
