Excited to share Lithos’ serving stack for Kimi K2.7 Code, a 1T-parameter frontier coding model.

On a single 8×B200 node, Lithos peaks above 1,000 tokens/sec per user on coding workloads while preserving the model’s native precision, full quality, and no added approximation.

For agents, faster tokens reduce the latency of each reasoning, coding, and iteration step. We believe ultra-fast inference changes your agentic experience.

Try it here: http://lithosai.com

LithosAI

Source: https://www.lithosai.com/

1,000 tokens per second

Speed is the new agent differentiator.

TRY NOW →

Without Lithos

174–291tok / s

HARNESSClaude Code•Codex•Your harness

MODELKimi K2.7 Code

INFERENCE

Major Providers

With Lithos

1,000tok / s3.4–5.7×faster

HARNESSClaude Code•Codex•Your harness

MODELKimi K2.7 Code

INFERENCE

Lithos Engine

Kimi K2.7 Code, 1T parameters, on 8×B200. Model-native precision. Zero approximation. Full model quality. 3.4–5.7× faster than major providers.

TRY NOW →

LithosAI (@lithos_ai): Today we’re launching Lithos’ agentic inference engine starting with Kimi K2.7 Code, a frontier open-source 1T parameter coding model.

On a single standard 8xB200 GPU node, performance peaks above 1,000 tok/s per user on coding workloads at model-native precision, with no