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A German developer replaced his entire dev team with the Kimi K2.6 AI model, using Obsidian for real-time visualization, and now earns $80,000/month solo with 90% profit margin.
Cerebras is now running Kimi K2.6, a trillion-parameter model, in enterprise trials at ~1,000 tokens/s, the fastest frontier model performance ever measured by Artificial Analysis.
Cerebras announces that it is now running Kimi K2.6, an AI model from Moonshot AI, on its hardware.
Cerebras announces it is running Kimi K2.6, a trillion parameter model, at approximately 1,000 tokens per second in enterprise trials, claiming the fastest frontier model performance ever measured by Artificial Analysis.
Comparison of cost per token vs cost per task between Kimi K2.6 and Claude Opus 4.7, showing that despite being cheaper per token, Kimi burns more tokens so the savings per task are less significant.
Kimi K2.6, a highly-regarded open model, is available free for 24h via Nous Portal using Vercel’s AI Gateway.
Kimi K2.6 cloned a personal website with a single prompt, producing a cleaner result than the original.
Kimi K2.6 is released as an open-weight model with strong agentic capabilities, accessible via FireworksAI’s fast inference APIs.
Kimi K2.6 paired with DFlash inference system achieves 508 tokens/s on 8×AMD MI300X, a 5.6× throughput jump from 90 tokens/s baseline with zero quality loss.
Kimi k2.6 levels up aesthetic coding, spinning out slick Interface Craft page animations powered by Framer and GSAP.
Moonshot has open-sourced the Kimi K2.6 model, supporting 4,000 tool calls in a single session and 300 parallel sub-agents, achieving SOTA on benchmarks like SWE-Bench Pro and claiming performance on par with Claude Opus 4.6 and GPT-5.4.