Category分类
Alternatives · LLM替代品 · 大语言模型
alternatives
Replaces替代对象
Qwen / 通义千问
Alibaba open LLM family阿里开源大模型家族
Options收录数量
7 alternatives7 款替代品
Open-source & commercial开源与商业方案
Tags标签
alternatives, llm, qwen, open-source, self-hosted
5 tags total个标签
One-line verdict: Qwen's biggest asset is its full size ladder (0.5B–235B) — the closest drop-in replacement is DeepSeek (open weights, stronger reasoning, cheaper API). If you need EU-friendly licensing, look at Mistral; for the largest open ecosystem, Llama.
一句话结论：Qwen 最大的优势是完整尺寸梯队（0.5B–235B），最接近的平替是 DeepSeek（开源权重、推理更强、API 更便宜）。需要欧洲友好授权选 Mistral，要最大的开源生态选 Llama。
— 中国吧 AI Tools Hub Editorial Team
Why Look for Qwen Alternatives?为什么要找 Qwen 替代品？
Qwen (Alibaba's Tongyi Qianwen, 通义千问) is one of the most popular open LLM families: a full ladder from tiny edge models to 235B flagship, strong Chinese support, and Apache 2.0 licensing on most sizes. People look for alternatives for a few reasons: different licensing terms on large sizes, stronger reasoning at the same tier, cheaper API, or a bigger fine-tuning community.Qwen（阿里通义千问）是最受欢迎的开源大模型家族之一：从边缘小模型到 235B 旗舰的完整尺寸梯队、强大的中文支持，多数尺寸采用 Apache 2.0 授权。人们找替代品通常出于这几个原因：大尺寸授权条款不同、同档位更强的推理能力、更便宜的 API，或更大的微调社区。
Below are 7 alternatives, with emphasis on open weights and local deployment. Each gets a one-line positioning plus who it fits best.以下 7 款替代品侧重开源权重与本地部署场景，每款一句话定位 + 适合人群。
7 Qwen Alternatives Compared7 款 Qwen 替代品逐一介绍
1. DeepSeek
📍 Positioning一句话定位
- Open-weight LLM with frontier-level reasoning (R1) at rock-bottom API prices.推理能力第一梯队的开源大模型，API 价格地板级。
- Best for: developers needing cheap high-volume API, reasoning/code tasks, and private local deployment.适合谁：需要高频调用 API 的开发者、推理/代码任务，以及需要私有化部署的企业。
⚖️ vs Qwen与 Qwen 对比
- Stronger reasoning than same-tier Qwen, but fewer size options and no tiny edge models.同档位推理更强，但尺寸梯队不如 Qwen 全，没有超小端侧模型。
2. Llama
📍 Positioning一句话定位
- Meta's open LLM family with the largest fine-tuning and tooling ecosystem worldwide.Meta 出品的开源大模型家族，全球最大的微调与工具生态。
- Best for: researchers and builders who want the most third-party models, LoRAs, and deployment recipes.适合谁：看重第三方模型、LoRA 和部署方案数量的研究者与开发者。
⚖️ vs Qwen与 Qwen 对比
- Ecosystem is bigger, but Chinese ability lags behind Qwen; community license has extra conditions.生态更大，但中文能力弱于 Qwen；社区授权有附加条款。
3. Mistral
📍 Positioning一句话定位
- European open LLM lab known for efficient small models and Apache 2.0-friendly licensing.欧洲开源大模型实验室，以高效小模型和友好的 Apache 2.0 授权著称。
- Best for: EU teams needing commercial-friendly licensing, and edge/on-device deployment.适合谁：需要商用友好授权的欧洲团队，以及端侧/设备端部署场景。
⚖️ vs Qwen与 Qwen 对比
- Great efficiency at small sizes; Chinese support and flagship size lag Qwen.小模型效率出色；中文能力和旗舰尺寸不如 Qwen。
4. ChatGPT
📍 Positioning一句话定位
- OpenAI's flagship closed model — the quality benchmark everything else is measured against.OpenAI 旗舰闭源模型，所有模型的对标基准线。
- Best for: users who just want the best quality chat/multimodal experience and don't need open weights.适合谁：只想要最好对话/多模态体验、不需要开源权重的用户。
⚖️ vs Qwen与 Qwen 对比
- Higher ceiling on quality, but closed weights, pricier API, and no local deployment.质量上限更高，但闭源、API 更贵、无法本地部署。
5. Kimi
📍 Positioning一句话定位
- Moonshot AI's long-context assistant — swallows whole books and dozens of PDFs in one go.月之暗面的长文本助手，一次吞下整本书或几十份 PDF。
- Best for: students and researchers doing thesis, contract, and long-document analysis.适合谁：写论文、审合同、做长文档分析的学生和研究者。
⚖️ vs Qwen与 Qwen 对比
- Long-context UX is unmatched, but weights are not open — no self-hosting.长文本体验无出其右，但权重未开源，无法自行部署。
6. Doubao / 豆包
📍 Positioning一句话定位
- ByteDance's free AI assistant with strong Chinese chat, voice, and image abilities.字节跳动的免费 AI 助手，中文对话、语音、图像能力均衡。
- Best for: everyday Chinese users wanting a free all-round chat app with no setup.适合谁：想要开箱即用、免费全能中文对话 App 的普通用户。
⚖️ vs Qwen与 Qwen 对比
- Easier for casual chat and voice, but no open weights and weaker for developers.日常聊天和语音更顺手，但不开源、开发者能力弱。
7. GLM / 智谱
📍 Positioning一句话定位
- Zhipu AI's GLM series — open bilingual models with strong agent and coding performance.智谱 AI 的 GLM 系列，开源双语模型，Agent 和代码表现突出。
- Best for: builders of coding agents and Chinese-language RAG apps.适合谁：做代码 Agent 和中文 RAG 应用的开发者。
⚖️ vs Qwen与 Qwen 对比
- Competitive open options, but ecosystem and size ladder are thinner than Qwen.开源选项有竞争力，但生态和尺寸梯队不如 Qwen 丰富。
💡 Model versions, licenses, and prices change frequently — the official site is authoritative. Figures above reflect public sources as of 2026-10.模型版本、授权条款和价格变化频繁，具体以官网为准。以上为截至 2026-10 的公开信息。
Which Alternative Fits You?选型建议：分人群看
💻 Developers开发者
- DeepSeek for cheap high-volume API and reasoning; Llama if you want the most community fine-tunes.DeepSeek 做高频 API 和推理任务；要最多社区微调资源选 Llama。
🏠 Self-Hosting本地部署
- Qwen / DeepSeek / Llama / Mistral all run via Ollama; pick by size: 7B–8B on a laptop, 32B+ with a GPU.Qwen / DeepSeek / Llama / Mistral 都能用 Ollama 跑，按尺寸选：笔记本跑 7B–8B，有显卡上 32B+。
🎓 Students学生
- Kimi for long papers, DeepSeek for math/code, Doubao for free everyday chat.Kimi 读长论文，DeepSeek 做数理代码，豆包 免费日常聊天。
Related AI Tools相关 AI 工具
Other tools mentioned in this roundup:本清单中提到的其他工具：
Frequently Asked Questions常见问题
What is the best open-source alternative to Qwen?Qwen 最好的开源替代品是哪款？ ▼
DeepSeek is the best open-source alternative to Qwen: its weights are open (MIT license), reasoning performance is top-tier among free models, and API pricing is extremely low. For local deployment, both Qwen and DeepSeek run well via Ollama, with Qwen offering more size options for smaller machines.DeepSeek 是 Qwen 最好的开源替代品：权重开源（MIT 协议）、免费模型中推理能力第一梯队、API 价格极低。本地部署方面，Qwen 和 DeepSeek 都能很好地跑在 Ollama 上，Qwen 在小尺寸选择上更多。
Can I run Qwen alternatives locally without a GPU server?没有 GPU 服务器，能本地跑 Qwen 替代品吗？ ▼
Yes. Quantized versions of DeepSeek, Llama, Mistral, and Qwen itself run on consumer hardware via Ollama or llama.cpp. A 7B–8B quantized model works on a laptop with 16GB RAM; a 32B–70B model needs 32GB+ RAM or a consumer GPU with 16–24GB VRAM.可以。DeepSeek、Llama、Mistral 以及 Qwen 本身的量化版本，都能通过 Ollama 或 llama.cpp 跑在消费级硬件上。7B–8B 量化模型在 16GB 内存的笔记本上就能跑；32B–70B 需要 32GB 以上内存或 16–24GB 显存的消费级显卡。
Is there a free chat alternative to Qwen in China?国内有免费的 Qwen 聊天替代品吗？ ▼
Yes: DeepSeek (fully free chat), Kimi (free with limits on advanced models), and Doubao are all free to chat in China without special network setup. ChatGPT works but requires access outside China.有：DeepSeek（对话完全免费）、Kimi（高阶模型有限制）、豆包，国内都能直接免费对话，无需特殊网络。ChatGPT 也可以用，但需要境外网络环境。
Which Qwen alternative is cheapest for API use?API 调用哪款 Qwen 替代品最便宜？ ▼
DeepSeek has the cheapest capable API on the market, with tiered cache-hit pricing on its official platform. If you already run open weights yourself, local deployment via Ollama or vLLM costs nothing beyond hardware. Check official sites for current rates.DeepSeek 拥有市面上最便宜的可用 API，官网有缓存命中分档计价。如果你自己部署开源权重，通过 Ollama 或 vLLM 本地调用除硬件外零成本。具体价格以官网为准。
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