Best Qwen2.5-Turbo 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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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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Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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Qwen-MT delivers fast, customizable AI translation for 92 languages. Achieve precise, context-aware results with MoE architecture & API.
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Unlock powerful multilingual text understanding with Qwen3 Embedding. #1 MTEB, 100+ languages, flexible models for search, retrieval & AI.
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Boost search accuracy with Qwen3 Reranker. Precisely rank text & find relevant info faster across 100+ languages. Enhance Q&A & text analysis.
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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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Unlock powerful AI for agentic tasks with LongCat-Flash. Open-source MoE LLM offers unmatched performance & cost-effective, ultra-fast inference.
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The large language model developed by Tencent has strong Chinese creation ability.Logical reasoning in complex contexts and reliable task execution
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Discover how TextGen revolutionizes language generation tasks with extensive model compatibility. Create content, develop chatbots, and augment datasets effortlessly.
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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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MiniMax-M1: Open-weight AI model with 1M token context & deep reasoning. Process massive data efficiently for advanced AI applications.
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OLMo 2 32B: Open-source LLM rivals GPT-3.5! Free code, data & weights. Research, customize, & build smarter AI.
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MiniCPM3-4B is the 3rd generation of MiniCPM series. The overall performance of MiniCPM3-4B surpasses Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, being comparable with many recent 7B~9B models.
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GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the GPT-NeoX library.
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Hunyuan-MT-7B: Open-source AI machine translation. Master 33+ languages with unrivaled contextual & cultural accuracy. WMT2025 winner, lightweight & efficient.
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A Gradio web UI for Large Language Models. Supports transformers, GPTQ, llama.cpp (GGUF), Llama models.
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Spark-TTS: Natural AI Text-to-Speech. Effortless voice cloning (EN/CN). Streamlined & efficient, high-quality audio via LLMs.
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Whisper large-v3-turbo offers efficient & accurate speech recognition/translation. Supports 99 languages, adapts zero-shot, has speed optimization & more. Ideal for AI pros & enterprises with diverse voice data.
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Train and fine-tune GPT models with nanoGPT. Fast, efficient, and easy to use, it's perfect for natural language generation and text completion.
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Jan-v1: Your local AI agent for automated research. Build private, powerful apps that generate professional reports & integrate web search, all on your machine.
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Qwen Code: Your command-line AI agent, optimized for Qwen3-Coder. Automate dev tasks & master codebases with deep AI in your terminal.
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Aero-1-Audio: Efficient 1.5B model for 15-min continuous audio processing. Accurate ASR & understanding without segmentation. Open source!
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Gemma 3 270M: Compact, hyper-efficient AI for specialized tasks. Fine-tune for precise instruction following & low-cost, on-device deployment.
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MonsterGPT: Fine-tune & deploy custom AI models via chat. Simplify complex LLM & AI tasks. Access 60+ open-source models easily.
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Ongoing research training transformer models at scale
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Jamba 1.5 Open Model Family, launched by AI21, based on SSM-Transformer architecture, with long text processing ability, high speed and quality, is the best among similar products in the market and suitable for enterprise-level users dealing with large data and long texts.
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Voxtral: Open, advanced AI speech understanding for developers. Go beyond transcription with integrated intelligence, function calling, and cost-effective deployment.
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KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.