Kimi K2 0905
Neural Network
Kimi K2 0905 is a Moonshot AI language model using Mixture-of-Experts architecture for coding and complex reasoning.
Max answer length
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Prompt cost
(per 1M tokens)
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How it works Kimi K2 0905?
Kimi K2 0905 is a large language model by Moonshot AI based on Mixture-of-Experts architecture: about a trillion parameters in total, with only a portion of experts activated per request. This is the September update to the Kimi K2 line, succeeding version 0711. Via BotHub, the model is accessible without a VPN or foreign card: pay with Russian cards in rubles, pay-as-you-go for consumed tokens, no subscription, and the balance does not expire. Over 250 models are available in the same window—switch and compare answers mid-dialogue. For teams, there is a unified OpenAI-compatible API: integrate once, and switching models just means changing the identifier. Traffic is encrypted via AES-GCM; companies can connect via contract with invoicing, EDI, and an admin panel with limits. Kimi K2 0905 is typically used for analyzing third-party code, refactoring, writing tests, debugging via logs, discussing service architecture, step-by-step engineering and math problem solving, and analyzing long technical documentation.Frequently asked questions about Kimi K2 0905
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
kimi-k2-0905 by moonshotai is a text model with a 262,144 token context window. It analyzes long documents, works with code, helps with refactoring and debugging, and answers questions about uploaded files and images. Suitable for analytics, technical documentation, and scenarios involving external tool calls.
In one response, the model outputs up to 98,304 tokens—that's dozens of pages of text. This capacity is enough for a large code analysis, detailed documentation, or a long analytical piece in its entirety, without splitting the task. If the response cuts off, just ask it to continue.
Our data does not explicitly note a separate reasoning mode for kimi-k2-0905, but that doesn't mean it doesn't exist. If you need detailed explanations, ask it in the prompt to break down the task step-by-step: the model will build a chain of arguments and show intermediate conclusions.
Yes. The model supports function calling and structured JSON output, making it easy to integrate into agents and pipelines: it selects the necessary tool and returns the answer in the specified schema. With BotHub's unified OpenAI-compatible API, you won't need to rewrite the connection when switching models.
Images and documents—yes: according to our data, the model accepts them as input and responds with text. Audio and video input is not noted in the data, so for transcribing recordings or analyzing video, it is better to choose a specialized model—you can switch in the same window in BotHub.
Language-specific characteristics are not recorded in our data, so we won't make any promises—test it with your own task. It's easy: pay-as-you-go for tokens, tokens don't expire, access without VPN or foreign cards. If it doesn't fit, there's another model right next to it in the same window.