Native multimodal model with self-directed agent swarms
Kimi K2.5 is Kimi's most intelligent model to date, achieving open-source SoTA performance in Agent, code, visual understanding, and a range of general intelligent tasks. It is also Kimi's most versatile model to date, featuring a native multimodal architecture that supports both visual and text input, thinking and non-thinking modes, and dialogue and Agent tasks.
Multi-agent architectures are evolving, and Kimi K2.5 executes the "Swarm" concept at a level of scale and native integration we haven't seen before.
Instead of just making a single model think longer (scaling up), they are scaling out.
K2.5 introduces the "Agent Swarm" paradigm. For complex tasks, it autonomously spawns up to 100 sub-agents to execute workflows in parallel, reducing execution time by up to 4.5x.
The Native Multimodality also looks practical, especially the ability to generate code directly from screen recordings (Video-to-Code), rather than just static images.
Kimi also released Kimi Code, which integrates these agentic capabilities directly into the terminal and IDEs like @VS Code, @Cursor, @JetBrains and @Zed.
Impressive to see this level of capability—especially the "Swarm" orchestration—being open-sourced!
About Kimi K2.5 on Product Hunt
“Native multimodal model with self-directed agent swarms”
Kimi K2.5 launched on Product Hunt on January 28th, 2026 and earned 219 upvotes and 5 comments, placing #8 on the daily leaderboard. Kimi K2.5 is Kimi's most intelligent model to date, achieving open-source SoTA performance in Agent, code, visual understanding, and a range of general intelligent tasks. It is also Kimi's most versatile model to date, featuring a native multimodal architecture that supports both visual and text input, thinking and non-thinking modes, and dialogue and Agent tasks.
On the analytics side, Kimi K2.5 competes within Open Source and Artificial Intelligence — topics that collectively have 534.5k followers on Product Hunt. The dashboard above tracks how Kimi K2.5 performed against the three products that launched closest to it on the same day.
Who hunted Kimi K2.5?
Kimi K2.5 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Zac Zuo
Hi everyone!
Multi-agent architectures are evolving, and Kimi K2.5 executes the "Swarm" concept at a level of scale and native integration we haven't seen before.
Instead of just making a single model think longer (scaling up), they are scaling out.
K2.5 introduces the "Agent Swarm" paradigm. For complex tasks, it autonomously spawns up to 100 sub-agents to execute workflows in parallel, reducing execution time by up to 4.5x.
The Native Multimodality also looks practical, especially the ability to generate code directly from screen recordings (Video-to-Code), rather than just static images.
Kimi also released Kimi Code, which integrates these agentic capabilities directly into the terminal and IDEs like @VS Code, @Cursor, @JetBrains and @Zed.
Impressive to see this level of capability—especially the "Swarm" orchestration—being open-sourced!