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LLMs

Cohere Trims the Stack: Mistral Large 3 and the Cost Curve

A field report on structured outputs and what it changes for analysts.

By Mira Castellanos3 min read

The interesting question is not whether Granola works. It does. The interesting question is what teams do with it once the novelty wears off.

What Google DeepMind actually shipped with Gemini 3 Pro is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.

Inside Booking.com, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.

What OpenAI actually shipped with GPT-5.1 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.

What Alibaba Qwen actually shipped with Llama 4 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.

What Inflection actually shipped with Llama 4 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.

None of this guarantees a clean story. OpenAI could ship a model next month that rearranges the assumptions in this piece. But the direction of travel, for now, is clear enough to plan around.

#inference#open source#agents#code

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