Standard reasoning indexes: Grok 4.7 beats DeepSeek V4.1 Flash 1017 (35.0 vs 32.5).
GDPx 8-hr agentic tasks: Flash 1017 flips it (5.4% vs 3.9%).
Plus it runs ~2x faster (~200 vs 97 tok/s), holds 1M context, and costs ~90% less ($0.15/$0.60 vs $2/$6).
Kimi K3.1 Pro's open weights are expected today, and if Moonshot keeps K3's commercial-friendly license, developers could self-host it and build products without relying on Moonshot's API.
Could NCM make LLMs obsolete?
NCM generates concepts in parallel, then refines them into text. Promising speed gains, but no proof it can match frontier models.
Would you bet on next-concept modeling or next-token prediction?
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