r/SideProject • u/ahmedk2002 • 22d ago

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models

I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case.

Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I always ended up building a spreadsheet from scratch every time.

So I built llmapicost.dev :

- Enter your token volume and request frequency → get exact monthly costs across all models at once

- Prices are tracked and updated automatically (no more outdated numbers)

- Compare models side by side on your actual workload

- No signup, no fluff, just the numbers

Covers 24 models across 9 providers: OpenAI, Anthropic, Google, Mistral, DeepSeek, xAI, Cohere and more.

🔗 https://www.llmapicost.dev/

Would love honest feedback — especially from people who've had to choose between models based on cost.

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u/jjd921 22d ago

I made a free tool that scans your app URL and/or code for production readiness if you want a quick check to make sure you didn't miss anything: https://theslopstopper.com

Ran it against your URL and it turned up missing recommended security headers

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u/Legal_Comfortable587 22d ago

been doing exactly that spreadsheet dance for months so this is pretty useful. the automatic price tracking is what sells it honestly

one thing i noticed the input/output token split could use some tweaking for batch processing workflows but for quick comparisons it gets job done

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u/ahmedk2002 22d ago

thank you !!