Moonshot AI released open weights for Kimi K3 today and it's live on Telnyx Inference. The architecture and Moonshot's own benchmarks are in their technical blog. This post is about running it on Telnyx.

What we are adding: K3 is now available via the Telnyx Inference API, hosted on GPUs that we own and operate.

This matters due to the size of this model. A 2.8T model needs dedicated infra to serve well. Because we own and operate the GPUs, we can contorl throughput. with no inter-provider hops and no cloud tenant, latency is minimized. We have GPUs in each of the US, EU, APAC, and MENA. Inference runs in the region you pick, with zero data retention. We do not store prompts or completions after the response returns. Because we own the infra, the per-token price reflects the cost of running the model, not the cost of renting someone else's plus their margin.

We have not benchmarked K3 ourselves yet. Moonshot's own numbers and early third-party evaluations put it at frontier level for coding and agentic work, trailing only Claude Fable 5 and GPT 5.6 Sol on aggregate. Full breakdown in their blog.

Pricing on Telnyx: $2.70/1M input tokens, $13.50/1M output tokens, $0.27/1M cached input tokens. Prompt caching enabled by default. Served via an OpenAI-compatible endpoint so you can test easily.

Model ID: [MODEL_ID] API: https://api.telnyx.com/v2/ai/chat/completions Docs: https://developers.telnyx.com/docs/inference Technical blog (Moonshot): https://www.kimi.com/blog/kimi-k3

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created:	August 1, 2025
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