I Calculated What 1M Tokens Costs Across 50+ LLM Models

I spent time compiling pricing data for 50+ LLM models across OpenAI, Anthropic, Google, Mistral, and others. Here's what I found.

The Price Range is Wild

• Cheapest: Gemini 1.5 Flash 8B at $0.19/1M tokens
• Most expensive: o1 Pro at $750/1M tokens
• That's a 3,947x difference

Quick Comparisons

Frontier models (1M tokens):

Model	Input	Output	Total
GPT-5	$1.25	$10.00	$11.25
Claude Opus 4.5	$5.00	$25.00	$30.00
Gemini 2.5 Pro	$1.25	$10.00	$11.25

Budget-friendly options:

Model	Input	Output	Total
GPT-5-mini	$0.25	$2.00	$2.25
Claude Haiku 4.5	$1.00	$5.00	$6.00
Gemini 2.0 Flash	$0.10	$0.40	$0.50

Key Takeaways

1. Output tokens cost 3-8x more than input - optimize your max_tokens
2. Newer isn't always pricier - GPT-5 is cheaper than GPT-4 Turbo
3. "Mini" models are underrated - GPT-5-mini costs 80% less than GPT-
4. Google is aggressive on pricing - Gemini 2.0 Flash at $0.50/1M is hard to beat.

Full breakdown with all 50+ models:https://withorbit.io/blog/llm-pricing-comparison-50-models

What models are you using? Curious how others are balancing cost vs capability.