kimi-k2.5

⚠️ After our special processing, when 302.AI calls this model, it can directly pass in images and videos in URL format , which greatly improves development efficiency and code readability.

Kimi K2.5 is Moonshot AI’s flagship open-source multimodal language model product,and is Kimi’s most intelligent model to date, achieving open-source SoTA performance in Agent, code, visual understanding, and a range of general-purpose intelligence tasks. At the same time, Kimi K2.5 is also Kimi’s most versatile model, featuring a nativelymultimodal architectural design that supports both visual and text inputs, thinking and non-thinking modes, as well as conversational and Agent tasks. Its core positioning is as a “natively visual intelligence agent engine,” specifically designed for autonomous collaboration in coding, office work, and complex tasks.

• Performance breakthrough: It delivers strong results on three major agent benchmarks—HLE, BrowseComp, and SWE-Verified—and its cost is only a fraction of that of competing products.
• Architectural innovation: It’s the world’s first open-source model that supports self-organizing “agent swarms,” dynamically scheduling up to 100 sub-agents and concurrently executing up to 1,500 tool calls.
• Coding revolution: It’s the strongest open-source multimodal coding model, enabling direct generation of front-end interfaces with interactive animations from conversations or videos, realizing “what you see is what you get” visual programming.
• Office efficiency boost: It processes end-to-end documents of up to 10,000 words, reports of 100 pages, financial models, and LaTeX formulas, reducing complex office tasks from hours to minutes.
• Efficiency leap: Compared to single-agent mode, swarm mode reduces execution time by up to 80%, compressing critical path steps by 3–4.5 times, truly achieving “second-level response”.

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Core Capabilities

👁️ Visual-driven coding:

• Natively jointly trained on 15T visual-text tokens, simultaneously enhancing image/video understanding and code generation capabilities.
• Supports visual debugging: Input an artwork (such as Matisse’s “Dance”), and automatically generate a visually consistent webpage and iteratively optimize it.
• Can reverse-engineer entire websites from videos, significantly lowering the barrier to front-end development.

🐝 Agent swarm architecture:

• No need for pre-defined workflows—tasks are automatically decomposed and specialized sub-agents such as AI researchers and fact-checkers are created.
• Trained based on PARL (Parallel Agent Reinforcement Learning), avoiding “serial collapse” and ensuring high concurrency.
• Uses “critical step” metrics to optimize latency; the more sub-tasks there are, the shorter the overall execution time.

💼 Professional office agents:

• Built-in K2.5 Agent mode directly outputs professional documents such as Word annotations, Excel pivot tables, and PDF formulas.
• Outperforms K2 Thinking by 59.3% on the AI Office Benchmark, delivering remarkable results in real-world office scenarios.
• Supports ultra-long outputs like 10,000-word papers or 100-page reports while maintaining structural and logical consistency.

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Demonstration of Results

• K2.5 can transform simple conversations into complete front-end interfaces, realizing interactive layouts and rich animation effects, such as scroll-triggered effects.

• K2.5 also excels in visual coding. By reasoning over images and videos, K2.5 improves the generation and visual debugging of code from images/videos, lowering the barrier for users to express their intentions visually.