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Kimi K2.6 by Moonshot AI is now available as a model option for Telnyx AI Assistants in the US region. Developers can select moonshotai/kimi-k2-6 directly in Mission Control or via the Assistants API, with inference running on Telnyx-hosted infrastructure alongside STT, TTS, and telephony in a single system.
Kimi K2.6 scores 58.6 on SWE-Bench Pro and 80.2% on SWE-Bench Verified, outperforming GPT-5.4 on real-world coding benchmarks and matching frontier models on agentic tasks. For developers building AI Assistants that need to reason through multi-step workflows, debug code, or coordinate tool calls across long horizons, this is a model purpose-built for that workload.
Running K2.6 on Telnyx infrastructure means the LLM call never leaves the private backbone. In a voice AI pipeline, every vendor boundary adds 30 to 80ms of latency. On-network inference eliminates that hop entirely, and removes a separate API key, vendor contract, and billing relationship. One system handles telephony, transcription, inference, and synthesis.
The MoE architecture also makes K2.6 cost-efficient at scale. Only 32 billion parameters activate per token, so you get the quality of a trillion-parameter model without the inference cost of one.
Learn more in the AI Assistants documentation or the Kimi K2.6 model card.