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6/17/2026
Cutting Our LLM Bill 65%: A Backend Engineer's Postmortem

Cutting Our LLM Bill 65%: A Backend Engineer's Postmortem

Short summary

Backend engineer cut monthly LLM costs from $108K to ~$38K by segmenting workloads and routing 70% through cheaper models (DeepSeek, Qwen) while reserving GPT-4o for high-stakes content. OpenAI-compatible APIs enabled drop-in migration without code refactoring.

  • •Audited 8M daily output tokens and found 70% were low-stakes workloads using the most expensive model
  • •Switched to cheaper models (DeepSeek V4 Flash at 1/9th the cost) for commodity tasks; kept GPT-4o for 5% needing premium quality
  • •Migration was trivial using OpenAI-compatible endpoint; additional gains from streaming and caching

Generated with AI, which can make mistakes.

#ai-tools#ai-agents#market-trend#industry-adoption
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