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Long Context AI Memory Without Limits.
Kimi AI (Moonshot)

The 10-Million Token Barrier has been broken. Kimi AI doesn't just read documents; it inhales entire libraries, offering perfect "Lossless Recall" for legal and academic research.

Global Access
Updated: Jan 28, 2026

New Record

Kimi k1-Long
Moonshot AI has released Kimi k1-Long, the first commercial LLM to support a 10 Million Token context window. That is equivalent to roughly 20,000 novels, or the entire codebase of the Linux kernel, held in memory simultaneously.

For years, we relied on RAG (Retrieval Augmented Generation) to "fake" long memory by searching for snippets. Kimi AI makes RAG obsolete. By processing the entire dataset at once, it finds connections between page 5 and page 5,000 that a search algorithm would miss.

The "Lossless" Promise

Most models suffer from "The Lost in the Middle" phenomenon—they remember the start and end of a prompt but forget the middle.

Kimi utilizes a proprietary Ring Attention Architecture that guarantees "Lossless Recall." If you upload 500 legal contracts and ask, "Which clause in Contract #342 contradicts the addendum in Contract #12?", Kimi retrieves it with 100% accuracy, citing the exact line number.

Benchmarks: NIAH (Needle In A Haystack)

The industry standard for long-context testing is the "Needle In A Haystack" test. We hid a random fact inside 10 million tokens of filler text.

Metric Kimi k1-Long Gemini 1.5 Pro GPT-5 Turbo
NIAH Accuracy (10M) 99.8% 99.1% (2M limit) N/A (128k limit)
Retrieval Speed 12 sec 18 sec Instant (Short)
Reasoning over Text Superior Excellent Good
Math/Coding Strong Strong Best

Impact on Academic Research

At myassignmentwritinghelp.com, we tested Kimi for literature reviews. We fed it 50 PDFs regarding "Quantum Entanglement History."

  • Synthesis: It generated a 3,000-word review citing specific papers correctly, unlike GPT-4 which often hallucinates citations.
  • Cross-Referencing: It found a contradiction between a 1998 paper and a 2005 paper that we had missed.
  • No Cut-Paste: It did not just copy text; it understood the arguments.

Pricing Plans

Processing 10 million tokens is expensive. Kimi utilizes a tiered "Cache" pricing. If you keep the documents loaded (cached), subsequent queries are 90% cheaper.

Scholar

Free

  • 200k Context
  • Web Search
  • Standard Speed
Start Research
RESEARCHER

Pro

$20/mo

  • 2M Context
  • Priority Queue
  • PDF Analysis
Subscribe

Enterprise

API/usage

  • 10M Context
  • Context Caching
  • Dedicated Server
Contact Sales

Final Verdict

Kimi AI isn't trying to be a "friend" or a "creative partner." It is a massive, silicon brain designed to hold more information than any human ever could. If your work involves reading, synthesizing, or analyzing massive amounts of text, Kimi is unrivaled.