Hey everyone! 👋 I've been experimenting with Claude 3.5 Sonnet for some of my team's documentation tasks, and the output quality is genuinely impressive for things like summarizing meeting notes or polishing project reports. It feels like a big step up for comprehension and nuance.
But here's my practical hangup: a lot of our work involves processing **long documents**—think 50+ page project post-mortems, lengthy technical specs, or quarter-long sprint summaries. We'd be hitting those higher context windows regularly.
I'm trying to map the cost to our real-world usage and compare it to other providers. For those who have run the numbers:
* What's the actual cost impact when you're regularly using, say, 100K+ tokens per call? Does the pricing model still feel competitive for bulk document work?
* How does it stack up against other models (like GPT-4o or Gemini 1.5 Pro) for similar long-context, high-quality output tasks when you factor in both input *and* output token costs?
* Any gotchas or tips for structuring long-document prompts with Claude to keep costs predictable?
I love the quality, but I need to justify it against our monthly tools budget. Would appreciate any real-world data or comparisons you've gathered!
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