@KKaWSB: Moonshot just open-sourced Kimi K2.6—4,000 tool calls in one 12-hour session, 300 sub-agents in parallel building a full codebase. SOTA on SWE-Bench Pro, BrowseComp, HLE and more, ties Claude Opus 4.6 and G…

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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.

Moonshot just open-sourced Kimi K2.6—4,000 tool calls in one 12-hour session, 300 sub-agents in parallel assembling an entire codebase. SOTA on SWE-Bench Pro, BrowseComp, HLE and other benchmarks, matching Claude Opus 4.6 and GPT-5.4. Open-source capability has caught up to top-tier closed-source—you only thought it wasn’t good enough because you hadn’t tried the latest.
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Cached at: 04/21/26, 08:27 AM

Moonshot just open-sourced Kimi K2.6 — 4,000 tool calls in a single session for 12 straight hours, 300 sub-agents in parallel building an entire codebase.
SOTA on SWE-Bench Pro, BrowseComp, HLE and more benchmarks, tying Claude Opus 4.6 and GPT-5.4.
Open-source models have caught up to top-tier closed-source — the only reason you thought they weren’t good enough is that you hadn’t tried the latest.

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X AI KOLs Timeline

K2.6 successfully downloaded and deployed the Qwen3.5-0.8B model locally on a Mac, using the niche Zig language to implement and optimize inference, demonstrating the new model’s generalization ability. After 4,000+ tool calls and 12+ hours of continuous operation, K2.6 iterated 14 times, boosting throughput from ~15 tokens/s to ~193 tokens/s, ultimately achieving 20% faster inference than LM Studio.