LLM cost breakdowns, model comparisons, and AI spending strategies for SaaS developers.
Sonnet 5 at $2/M. Fable 5 at $10/M. Opus 4.6 at $5/M. Which one should you use?
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We tested 9 AI monitoring tools for cost tracking. Here's what works, what doesn't, and what each one costs.
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An LLM proxy sits between your app and AI providers to track costs, enforce budgets, and prevent surprise invoices.
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No alert. No spike. Just a $47K bill on a Tuesday morning. Here's what I missed.
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Prices shifted 14 times in 6 months. Your bill changed — did you notice?
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Your FinOps tools see the AWS bill. They don't see which feature burned $3,000 on GPT-4o last Tuesday.
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DeepInfra from $0.05/M tokens vs OpenAI $2.50/M. Real pricing breakdown with hidden costs.
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Google's Gemini API: free tier with 15 RPM, paid from $0.075/M tokens. Full breakdown inside.
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One API for 200+ models. But OpenRouter adds 5-20% on top of provider prices. When does it make sense?
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Your AI app just went viral. Costs are scaling linearly with users while revenue scales with plans. Here's how to survive the growth spike.
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AI API costs vary per request while your SaaS charges a flat fee. Here's how to protect margins with caps, tiering, and real-time tracking.
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Charging customers for AI usage without churn. 5 pricing strategies from SaaS companies that increased ARPU 40% while keeping retention above 95%.
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Stop looking at total AI spend. Track cost per customer with tenant isolation, per-request tagging, and real-time dashboards to find margin killers.
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AI startups burn 20-40% of revenue on LLM inference. Here are 6 cost traps that kill margins and how to fix them before your runway disappears.
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Uber burned its 2026 AI budget in 4 months. Amazon employees gamed token leaderboards. One company hit $500M on Claude. Hard caps are no longer optional.
Read article →The budget-first AI cost metering proxy for any stack. Track every LLM token, set budget alerts, and never get surprised by your AI bill again.