Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
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Measured against all 412 chat models CoreAI serves, MoonshotAI: Kimi K2.5 sits at #184 for context capacity — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #63 cheapest of 198 standard-tier models by input cost. It joined the catalog on 2026-01-27. 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 K2.5 and MoonshotAI: Kimi K2 0711 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00158 on MoonshotAI: Kimi K2.5's raw per-token rates; a heavy session with a 50K-token document costs about $0.034. On CoreAI you don't juggle these numbers — one subscription covers MoonshotAI: Kimi K2.5 and 300+ other models under a plan usage limit, with no API keys. See plans.
MoonshotAI: Kimi K2.5 handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.
MoonshotAI: Kimi K2.5's underlying rates are $0.45 per 1M input tokens and $2.25 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 K2.5 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. MoonshotAI: Kimi K2.5 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 K2.5 in the model selector, and chat — no API key, no per-token billing. One subscription covers MoonshotAI: Kimi K2.5 and 300+ other models.
The closest alternatives on CoreAI are MoonshotAI: Kimi K2 0711, 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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