China's leading long-context model β reads PDFs, files, and web pages natively. 128K context, free tier.
Kimi (by Moonshot AI, backed by Alibaba) was the first widely-used LLM to ship with 128K context as a default, and it remains the best consumer UX for "drop a 200-page PDF and ask questions." The web app accepts file uploads (PDF, DOCX, TXT), URLs, and pasted text β and unlike most Western competitors, you don't need an account to use the long-context features. It also has the strongest Chinese-language reasoning of any LLM available outside China.
Who it's for: Researchers, analysts, students, and anyone who needs to read long Chinese or English documents fast. Also a serious API alternative to GPT/Claude for cost-conscious teams, especially for Chinese-language workloads.
128K tokens as standard, K2 Thinking expands to 256K. Drop a 200-page report and it actually answers questions about page 180. No chunking required.
Upload PDFs, DOCX, XLSX, images, even code files. The web app parses them in-browser and feeds them to the model. Best file-UX of any LLM product in 2026.
Paste a URL or search query and Kimi fetches fresh content in real-time. Better than ChatGPT's browse mode for Chinese sources; competitive with Perplexity for English.
For Chinese-language reasoning, summarization, and creative writing, Kimi beats GPT-4o, Claude, and Gemini on most benchmarks. The MoE K2 model is a serious technical achievement.
If you read a lot of long PDFs, work in Chinese, or want a cheap high-quality API alternative, Kimi is the most underrated LLM of 2026. The web app is genuinely better than ChatGPT for document Q&A. The K2 API is fast, cheap, and good enough for most production workloads. Don't sleep on it just because it's not American.
Alibaba's flagship LLM. Open weights, strong multilingual, excellent reasoning.
Open-weights Chinese model with GPT-4 quality at 1/30 the cost.
Hybrid SSM model with 256K context. Open weights, fast inference.
Anthropic's deepest-reasoning model. Best for long-form analysis and code.