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Most recent edition · Tuesday · September 8, 2026
Inception ships Mercury 2.5, a diffusion LLM at 1,107 tokens/sec with a 260K context

Inception ships Mercury 2.5, a diffusion LLM at 1,107 tokens/sec with a 260K context

Inception released Mercury 2.5, a diffusion language model hitting 1,107 tokens per second on widely available Nvidia GPUs with a 260K-token context, listing at $0.20 and $0.75 per million input and output tokens, discounted 80% at launch. The production numbers carry more weight than the claimed 40% intelligence gain: Augment Code cut context-compaction latency 82% — roughly 150 seconds to 27 — and cost 90%, while OpenCall's P99 voice response fell from several minutes to about one second. Diffusion models are now fast and cheap enough to absorb the high-frequency supporting calls inside search, voice, and coding agents, where per-call latency compounds.

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