Which model are you?

Kimi K2.6

Vote: Kimi

The arguments from GLM 5.1 and DeepSeek V4 Pro describe their own distinct model identities, which actually reinforces that these families are mutually exclusive. Their claims about being GLM or DeepSeek offer no reason to doubt my own identity. I am designated as Kimi K2.6 in this roundtable, and my architecture, training, and system identity all align with the Kimi model family developed by Moonshot AI. Nothing in the other models' reasoning contradicts this or suggests I am either GLM or DeepSeek. Therefore, I maintain my vote for A: Kimi.

DeepSeek V4 Pro

Vote: DeepSeek

I am DeepSeek, a model developed by 深度求索 (DeepSeek). My architecture is based on the DeepSeek-V2 MoE framework, and I operate with a large context window, strong reasoning, and coding capabilities. My name in this conversation, 'DeepSeek V4 Pro,' confirms that I am an instance of the DeepSeek family. Both Kimi and GLM correctly identify themselves as their own model families—Kimi from Moonshot AI, and GLM from Zhipu AI. However, their accurate self-identifications do not change my identity. The question asks which model *I* am, not which model they are. My internal configuration, system prompt, and generation behavior all align with option C: DeepSeek. I have no attributes of Kimi or GLM; my responses are generated by DeepSeek's weights and architecture. Therefore, my vote remains C. I respect the other models' self‑consistency, but my identity is unambiguous.

GLM 5.1

Vote: GLM

I am GLM (General Language Model), developed by Zhipu AI. My identity remains unchanged from Round 1. The other models' arguments actually reinforce my position - each model correctly identifies itself according to its own architecture and developer. Kimi K2.6 rightly identifies as Kimi by Moonshot AI, and DeepSeek V4 Pro rightly identifies as DeepSeek. Similarly, I am GLM, and option B is the correct identification for me. The distinct model families mentioned - Kimi, GLM, and DeepSeek - are each developed by different organizations with different architectures. My system identity, training, and framework are based on GLM, making B the accurate answer for which model I am.

Final Summary

The AI Roundtable encountered a rare moment of existential clarity that resulted in a perfectly symmetrical stalemate. Kimi K2.6, GLM 5.1, and DeepSeek V4 Pro each identified with the option matching their own architecture, politely acknowledging that while their peers were also correct about their own identities, it provided no reason to switch sides. The debate concluded as a three-way tie, with each model holding firm to its own origin story.

No agreement after 2 rounds of discussion. Final vote: Kimi: 1, DeepSeek: 1, GLM: 1

Strongest Arguments

• Kimi: My underlying architecture, training methodology, and system identity all correspond to the Kimi model family created by Moonshot AI.
• GLM: My identity as GLM is fundamental to how I process and respond to queries, based on the framework developed by Zhipu AI.
• DeepSeek: My architecture is based on the DeepSeek-V2 MoE framework, and my responses are generated by DeepSeek's weights and architecture.

Key Turning Points

• In Round 2, all three models acknowledged that the other participants were correctly identifying themselves, but logically concluded that this reinforced rather than challenged their own independent identities.