<think>The user wants me to rewrite an article about Enterprise vs Startup AI API choices. Let me analyze the requirements:
Dev.to / 6/2/2026
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Key Points
- The article argues that many teams underestimate AI token costs and share first-person examples of cutting inference spend dramatically through better API and model selection.
- It compares typical monthly pricing ranges, noting about $10–500/month for startups versus $5,000–50,000+/month for enterprises, and highlights the resulting cost pressure as usage scales.
- Using specific token-price math, it presents DeepSeek V4 Flash costs (e.g., MVP 5M tokens = $1.25) alongside GPT-4o output pricing (e.g., 5M tokens = $50, 50M = $500, 500M = $5,000, 5B = $50,000), showing a reported 97.5% savings.
- It outlines enterprise reliability and commercial options, including a 99.9% uptime SLA for the Pro Channel plus Pro features like dedicated capacity, custom DPA, and Net-30 billing.
- It discusses tier constraints such as free-tier rate limits (50 req/min) and suggests using a hybrid approach before ending with a CTA for Global API.
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