Qwen3-Next-80B-A3B-Instruct is an open-source large language model designed for instruction-following and general NLP tasks. Below are 25 foundation models & chat apps with similar functionality to Qwen3 Next 80B A3B Instruct, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3-Next-80B-A3B-Instruct-AWQ-4bit is an open-source instruction-tuned large language model for text generation and task automation. It can be integrated via CLI, API, or Docker, making it ideal for developers building AI assistants or workflow automation tools.
Qwen2.5-7B-Instruct is an open-source large language model developed by Alibaba Cloud, designed for instruction following and general AI tasks. It can be self-hosted or accessed via API, and is suitable for developers and researchers building AI applications or conducting experiments.
Qwen2.5-3B-Instruct is an open-source, instruction-tuned large language model designed for advanced text generation and conversational AI applications. It is suitable for AI researchers and developers seeking a customizable LLM for research or integration into applications. The model supports API and CLI deployment.
Qwen2.5-3B-Instruct is an open-source, fine-tuned large language model optimized for instruction following and text generation. It is suitable for NLP developers and researchers integrating LLMs into their workflows.
Qwen2.5-3B-Instruct is a fine-tuned checkpoint of the Qwen2.5-3B model, tailored for instruction-following and text generation. It is distributed via Hugging Face for use by researchers and developers in local inference pipelines.
Qwen3-Next-80B-A3B-Thinking-AWQ-4bit is an open-source large language model designed for advanced text generation and reasoning tasks. It supports integration via CLI, API, and Docker, making it suitable for developers and researchers building sophisticated AI applications.
Qwen3-Next-80B-A3B-Thinking is an open-source large language model variant focused on advanced reasoning and text generation. It is suitable for AI researchers and developers who require high-capacity models for complex NLP tasks and supports Python and Docker environments.
Qwen2.5-14B-Instruct-AWQ is an open-source large language model designed for instruction following and conversational tasks. It provides downloadable weights and supports local inference, making it suitable for researchers and developers seeking customizable LLM solutions.
Qwen2.5-1.5B-Instruct is an open-source, instruction-tuned large language model designed for text generation tasks. It supports both Python and Docker installations, enabling AI researchers and developers to run local inference and experiment with instruction-based prompts. The model is distributed with open weights for transparency and research.
Qwen3-Coder-30B-A3B-Instruct-FP8 is an open-source, quantized large language model for code generation and instruction following. It supports local deployment via CLI or Docker, making it suitable for developers and researchers in AI and automation.
Qwen3-Coder-30B-A3B-Instruct-GGUF is an open-source AI model for code generation and completion, available on Hugging Face. It can be installed via CLI tools and is designed for developers who want to run large language models for programming tasks locally.
Qwen3-7B-Instruct-Q4_K_M-GGUF is a quantized version of the Qwen3-7B-Instruct large language model, designed for efficient local inference via CLI tools. It is open-source and suitable for developers and researchers needing instruction-following LLMs on local hardware.
Qwen2.5-0.5B-Instruct is an open-source, fine-tuned language model for conversational AI and instruction-based text generation. It is suitable for researchers and developers building chatbots or virtual assistants. The model is distributed under a permissive license and can be installed via pip or Docker.
Qwen2-0.5B-Instruct is an open-source, instruction-tuned language model designed for lightweight text generation tasks. It is suitable for researchers and developers seeking a small, locally deployable LLM for experimentation and prototyping.
Qwen2.5-VL-72B-Instruct is an open-source, large-scale foundation model capable of understanding and generating text, images, and videos. It is designed for AI researchers and developers building advanced multimodal applications and can be deployed locally or via API.
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.
Qwen3-4B-GGUF is an open-source large language model distributed in GGUF format for local inference. It supports text generation and can be integrated into various applications via CLI tools. Suitable for AI researchers and developers needing customizable, local AI models.
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.
Qwen3.5-9B-IQ4_NL-GGUF is an open-source checkpoint of the Qwen 3.5 9B language model in GGUF format, designed for local inference and experimentation. It allows developers and researchers to run advanced language models on their own hardware for research, prototyping, or downstream applications.
Qwen2.5-Coder-1.5B-Instruct-Q3_K_S-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
Qwen3.6-27B-V4 is a large checkpoint of the Qwen3.6 model, designed for advanced text generation and instruction-following. Distributed via Hugging Face, it is intended for researchers and developers to use in local inference and experimentation.
qwen3-8b-instruct-indo-sft is an open-source, instruction-tuned language model checkpoint supporting Indonesian and English. It is designed for developers and researchers to run local inference, fine-tune, or integrate into custom NLP workflows, facilitating multilingual AI research and applications.
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.
Qwen3.6-27B-FP8 is a quantized open-source large language model in FP8 format, designed for efficient local inference in advanced NLP tasks. It is suitable for research and integration into custom applications.
Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
