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Kimi K2.5: Visual Agentic Intelligence paper by Kimi Team
⭐ 31.7
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Paper

Kimi K2.5: Visual Agentic Intelligence

by Kimi Team arxiv/2602.02276
Free2AITools Nexus Index
31.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 50
Q: Quality 60
Tech Context
Vital Performance —

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that two modalities enhance each other. This includes a series of techniques such as joint text-vision pre-training, zero-vision SFT, and joint text-vision reinforcement learning. Building on this multimodal foundation, K2.5 introduces Agent Swarm, a self-directed parallel agent orchestration framework that dynamically d...

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Registry ID 2602.02276
License arXiv
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{arxiv_2602_02276,
  author = {Kimi Team},
  title = {Kimi K2.5: Visual Agentic Intelligence Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2602.02276}},
  note = {Accessed via Free2AITools.}
}
APA Style
Kimi Team. (2026). Kimi K2.5: Visual Agentic Intelligence [Paper]. Free2AITools. https://arxiv.org/abs/2602.02276

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 50
Quality (Q) 60

πŸ’¬ Index Insight

FNI V2.0 for Kimi K2.5: Visual Agentic Intelligence: Authority (A:0), Popularity (P:0), Recency (R:50), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that two modalities enhance each other. This includes a series of techniques such as joint text-vision pre-training, zero-vision SFT, and joint text-vision reinforcement learning. Building on this multimodal foundation, K2.5 introduces Agent Swarm, a self-directed parallel agent orchestration framework that dynamically d..."

❝ Cite Node 

@article{Team2026Kimi,
  title={Kimi K2.5: Visual Agentic Intelligence},
  author={Kimi Team},
  journal={arXiv preprint arXiv:2602.02276},
  year={2026}
}

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Kimi Team

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πŸ“Š Research Signals

πŸ“…1970Published
⏱️50RecencyFNI pillar
βœ…60QualityFNI pillar
πŸ—‚οΈcs.CLField

🏷️ Research Topics

multimodalvision models
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πŸ†” Identity & Source

id
2602.02276
slug
2602.02276
source
arxiv
author
Kimi Team
license
arXiv
tags
arxiv:cs.CL, arxiv:cs.AI, arxiv:cs.LG

βš™οΈ Technical Specs

architecture
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params billions
null
context length
null
pipeline tag

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