DeepSeek vs Qwen vs Kimi vs GLM (2026): Complete Head-to-Head Comparison
DeepSeek vs Qwen vs Kimi vs GLM — the 2026 head-to-head. We compare the four top Chinese AI models on price, context window, coding, open-source, and which to choose.
DeepSeek vs Qwen vs Kimi vs GLM (2026): Complete Head-to-Head
Four Chinese AI models dominate 2026: DeepSeek (the open-source price disruptor), Qwen (Alibaba’s free all-in-one), Kimi (Moonshot’s long-context champion), and GLM (Zhipu’s app-building workhorse). This comparison settles the debate with real numbers — price, context, coding, open-source, and privacy — so you can pick the right one today. Short answer: DeepSeek for coding, Qwen for everything-free, Kimi for giant documents, GLM for building apps.
The Four Contenders at a Glance
| DeepSeek | Qwen Chat | Kimi | GLM (Zhipu) | |
|---|---|---|---|---|
| Company | DeepSeek | Alibaba | Moonshot AI | Zhipu AI |
| Web chat | ✅ Free, unlimited | ✅ Free, unlimited | ✅ Free | ✅ Free |
| Context window | 1M tokens | 1M tokens | 1M tokens | Large |
| Open-source weights | ✅ Yes (many) | ✅ Yes (many) | ⚠️ Partial | ✅ Yes |
| Image generation | ❌ | ✅ Built in | ❌ | Limited |
| Web search | ❌ (via R1 tools) | ✅ Built in | ✅ | ✅ |
| Coding strength | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ (agentic) | ⭐⭐⭐⭐ |
| API price | Ultra-low (~$0.14/M input) | Very low | Low | Low |
| Best at | Coding, reasoning, value | All-in-one free | Long documents, codebases | App generation, system design |
| Full review | Full review | Full review | Full review |
All four are free to try right now, and all four beat Western rivals on price. The differences are in flavor — and the sections below tell you exactly which flavor is yours.
DeepSeek vs Qwen: The Two Big Ones
These are the models most people actually compare. DeepSeek is the developer’s model; Qwen is the everyone model.
DeepSeek (full review) shook the industry by proving open-source AI can match closed rivals. Its flagship is a coding and reasoning monster, its R1 model pioneered open reasoning, and its API costs a fraction of Western pricing — roughly 2-3% of OpenAI. The free web chat at chat.deepseek.com has no limits. The trade-offs: no built-in image generation, and the interface is more utilitarian than flashy.
Qwen Chat (full review) is Alibaba’s free assistant at chat.qwen.ai — and it does everything: language, image generation, web search, and code execution in one free package, backed by 100+ open Qwen models. It’s the closest thing to “ChatGPT, but free.” The trade-offs: less famous for raw reasoning benchmarks than DeepSeek, and image generation is good but not Midjourney-level.
The verdict: Pick DeepSeek if you’re a developer, you care about coding benchmarks, or you’ll use the API at scale. Pick Qwen if you want one free tool that handles chat + images + search without thinking.
Kimi vs GLM: The Specialists
Where the big two are generalists, Kimi and GLM are specialists — and choosing between them is really about your task.
Kimi (full review) from Moonshot AI owns the long-context crown. Its 1M-token context window means you can paste an entire book, a year of research, or a whole codebase into a single prompt. It’s built for long-horizon reasoning, agentic coding, and native vision, with free web and mobile apps. If your work is “read everything, then answer,” Kimi is unmatched.
GLM (full review) from Zhipu AI is the vibe-coding workhorse: describe an app and get the architecture, the system design, and the code. It excels at full-stack generation and agentic workflows, offers open-source variants for self-hosting, and has a free chat at z.ai. If your work is “describe it, get the app,” GLM is the pick.
The verdict: Kimi for analysis (books, codebases, reports). GLM for building (apps, systems, workflows).
Pricing Comparison (The Honest Numbers)
All four are free at the web-chat level — genuinely, not freemium-with-a-paywall. The APIs are where the money is, and this is where Chinese models demolish Western pricing:
| Web chat | API (approx. input) | API vs. OpenAI | |
|---|---|---|---|
| DeepSeek | Free, unlimited | ~$0.14 / M tokens | ~2-3% of price |
| Qwen | Free, unlimited | Very low | Single digits % |
| Kimi | Free | Low | Single digits % |
| GLM | Free | Low | Single digits % |
For comparison, frontier Western APIs typically charge $2.50-$15 per million input tokens. If you do high-volume API work, switching one workflow to DeepSeek alone can cut your AI bill by 95%+.
Privacy and Data Residency
The honest caveat that applies to all four: data is processed in China. For casual use — study help, coding questions, creative writing — this is a non-issue. For sensitive business data, proprietary code, or regulated industries (healthcare, finance, law), you have two safe options:
- Use Western providers (Claude, ChatGPT) for sensitive data.
- Self-host — DeepSeek, Qwen, and GLM all release open-source weights, so you can run them on your own hardware with zero data leaving your machine.
The local option gives you Chinese-model capability with Western-style data control — the best of both worlds.
How to Choose: Decision Guide
- You’re a developer / want the best coder → DeepSeek
- You want one free tool that does everything → Qwen Chat
- You analyze whole books, research, or codebases → Kimi
- You want to build apps from descriptions → GLM
- You need cinematic video, not text → MiniMax (Hailuo) — the Chinese AI video specialist
- Privacy matters most → Self-host DeepSeek, Qwen, or GLM open weights
- You want the full picture of Chinese AI → Read our Chinese AI Models guide
Frequently Asked Questions
Which is better: DeepSeek or Qwen?
For coding, reasoning, and ultra-low API prices, DeepSeek wins. For a single free tool that does everything — chat, images, web search, documents — Qwen Chat is better. DeepSeek is the developer’s choice; Qwen is the all-in-one free package. Most users will be happiest with Qwen, most developers with DeepSeek.
Is Kimi better than GLM?
They lead different tasks. Kimi wins on long-context work: its 1M-token window loads entire books and codebases in one prompt, making it the best for research and big-repository analysis. GLM wins on app generation and system design — describe an app and it builds it. Pick Kimi for analysis, GLM for building.
Are these Chinese AI models really free?
Yes, all four have genuinely free web chat tiers. The difference is at API level: DeepSeek costs about $0.14 per million input tokens, Qwen-Flash about $0.05, while Kimi and GLM sit in the same ultra-low range. Compare that to $2.50+ per million for frontier Western APIs — the four Chinese models are 10-50x cheaper, not marginally cheaper.
Which Chinese AI model is best for coding?
DeepSeek is the strongest overall coder — its flagship competes with frontier Western models on coding benchmarks while being open source and cheap. Qwen and GLM are close behind, and Kimi is excellent for agentic coding over large codebases thanks to its giant context window.
Can I run these models locally?
DeepSeek, Qwen, and GLM all publish open-source weights you can self-host with Ollama, vLLM, or llama.cpp — full privacy, zero per-token cost. Kimi is the odd one out: only partially open, so your local options are the other three. If data residency matters, self-hosting DeepSeek or GLM is the strongest privacy play in this group.
Should I switch from ChatGPT to a Chinese model?
Run the numbers first: the same 10M tokens that cost ~$300 on GPT-4 cost ~$25 on Qwen or a few dollars on DeepSeek-Flash. For coding, math, and research volume, that gap makes switching a no-brainer. Keep ChatGPT for its plugins, ecosystem, and Western data residency — the winning setup in 2026 is one Chinese model for cost plus ChatGPT or Claude for polish and compliance.
The Bottom Line
There is no single “best” Chinese AI model in 2026 — there’s the best for your job. DeepSeek if you code or build on APIs. Qwen if you want everything for free. Kimi if you live in long documents. GLM if you want AI to build your apps. All four are free to try in an afternoon, and trying them is the fastest way to know which one wins for you. For the complete assistant landscape, browse our AI Tools directory or the best AI tools of 2026.