Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
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Among the 412 chat models on CoreAI, MoonshotAI: Kimi K2.6 ranks #184 by context window — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #119 cheapest of 198 standard-tier models by input cost. It joined the catalog on 2026-04-20. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through MoonshotAI: Kimi K2.6 and MoonshotAI: Kimi K2.7 Code side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00295 on MoonshotAI: Kimi K2.6's raw per-token rates; a heavy session with a 50K-token document costs about $0.068. On CoreAI you don't juggle these numbers — one subscription covers MoonshotAI: Kimi K2.6 and 300+ other models under a plan usage limit, with no API keys. See plans.
MoonshotAI: Kimi K2.6 handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.
MoonshotAI: Kimi K2.6's underlying rates are $0.95 per 1M input tokens and $4 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — MoonshotAI: Kimi K2.6 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. MoonshotAI: Kimi K2.6 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick MoonshotAI: Kimi K2.6 in the model selector, and chat — no API key, no per-token billing. One subscription covers MoonshotAI: Kimi K2.6 and 300+ other models.
The closest alternatives on CoreAI are MoonshotAI: Kimi K2.7 Code, ByteDance Seed: Seed 2.1 Turbo, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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