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moonshot-ai

Moonshot Ai · since 12. Juni 2026 · 22× · last seen Jul 13, 2026

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Kimi K2.7 (officially "Kimi K2.7 Code") is an open-weight language model developed by Moonshot AI using a Mixture-of-Experts architecture (1 trillion total parameters, 32 billion active parameters per token). Released on June 12, 2026 as a coding- and agent-focused successor to K2.6, it supports a 256K token context window (262,144 tokens) and is natively multimodal (text, image, video). The model always runs in mandatory "thinking" mode, while the company reports roughly 30% lower reasoning-token usage versus K2.6, and the weights are available under a Modified MIT License on Hugging Face.

Momentum trend
21.04.20.07.

Features

Key Benchmark (%)MCP Mark Verified: 81.1% (vs. Claude Opus 4.8: 76.4%); Kimi Code Bench v2: 62.0 (K2.6: 50.9)
Context Window (Tokens)256K tokens (262,144 tokens)
LicenseModified MIT License (model and code repository)
MultimodalityNatively multimodal: text, image, and video input (via MoonViT encoder with 400M parameters)
PlatformKimi API (platform.moonshot.ai), Kimi Code CLI, Hugging Face, ModelScope, OpenRouter, Cloudflare Workers AI, GitHub Copilot
Preis pro 1M Input-Tokens$0,95 pro 1M Input-Tokens (Cache Miss) / $0,19 pro 1M Input-Tokens (Cache Hit) – offizieller API-Preis auf platform.kimi.ai
Price per 1M TokensInput: $0.95 (cache miss) / $0.19 (cache hit); Output: $4.00 (official Kimi API pricing)
Release DateJune 12, 2026

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