Best Qwen2-VL Alternatives in 2025
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Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud.
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Qwen2.5 series language models offer enhanced capabilities with larger datasets, more knowledge, better coding and math skills, and closer alignment to human preferences. Open-source and available via API.
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Qwen2-Audio, this model integrates two major functions of voice dialogue and audio analysis, bringing an unprecedented interactive experience to users
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Qwen2-Math is a series of language models specifically built based on Qwen2 LLM for solving mathematical problems.
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Yi Visual Language (Yi-VL) model is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images.
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DeepSeek-VL2, a vision - language model by DeepSeek-AI, processes high - res images, offers fast responses with MLA, and excels in diverse visual tasks like VQA and OCR. Ideal for researchers, developers, and BI analysts.
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Qwen2.5-Turbo by Alibaba Cloud. 1M token context window. Faster, cheaper than competitors. Ideal for research, dev & business. Summarize papers, analyze docs. Build advanced conversational AI.
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WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models.
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Meet Falcon 2: TII Releases New AI Model Series, Outperforming Meta’s New Llama 3
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GLM-4-9B is the open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI.
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With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.
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CodeQwen1.5, a code expert model from the Qwen1.5 open-source family. With 7B parameters and GQA architecture, it supports 92 programming languages and handles 64K context inputs.
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Yuan2.0-M32 is a Mixture-of-Experts (MoE) language model with 32 experts, of which 2 are active.
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Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks.
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Agent framework and applications built upon Qwen1.5, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
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CogVLM and CogAgent are powerful open-source visual language models that excel in image understanding and multi-turn dialogue.
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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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XVERSE-MoE-A36B: A multilingual large language model developed by XVERSE Technology Inc.
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A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
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Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.
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Google introduces Veo 2, a cutting-edge video generation model creating realistic clips from text or images. Alongside, Imagen 3, an enhanced text-to-image model, is now live on ImageFX, offering stunning visuals with improved quality
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
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Phi-2 is an ideal model for researchers to explore different areas such as mechanistic interpretability, safety improvements, and fine-tuning experiments.
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OmniParser V2 solves GUI automation issues for LLMs. It tokenizes UI screenshots, has enhanced small element detection, 60% faster inference, and OmniTool integration. Ideal for software testing, web tasks, and customer support.
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Enhance language models, improve performance, and get accurate results. WizardLM is the ultimate tool for coding, math, and NLP tasks.
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C4AI Aya Vision 8B: Open-source multilingual vision AI for image understanding. OCR, captioning, reasoning in 23 languages.
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Generate natural and expressive multilingual speech with VALL-E X. Cloning voices, controlling speech emotion, and experimenting with accents made easy!
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CogVideoX-5B-I2V by Zhipu AI is an open-source image-to-video model. Generate 6-second, 720×480 videos from a picture and text prompts.
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CM3leon: A versatile multimodal generative model for text and images. Enhance creativity and create realistic visuals for gaming, social media, and e-commerce.