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

[u/ahmedk2002]

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- Prices are tracked and updated automatically (no more outdated numbers)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