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Cost & Pricing

Pricing Your AI API Profitably

An AI API reselling your dedicated GPU capacity can charge meaningfully below OpenAI while retaining healthy margin. Practical pricing framework.

Reselling a self-hosted LLM as an API product is a legitimate business in 2026. Dedicated GPU hosting gives you predictable COGS; customers get flat-rate or cheaper-per-token pricing than hyperscale APIs. Here is how to price it profitably.

Contents

COGS

Monthly server cost divided by expected monthly token throughput at target utilisation. For a 5090 serving 13B INT8:

  • Monthly: £500
  • Throughput: ~1000 t/s aggregate at full utilisation = ~2.6 billion tokens/month at 100% util
  • Realistic target 50% utilisation: ~1.3 billion tokens/month
  • COGS: £0.38 per million tokens

Models

  • Per-token: direct competitor to OpenAI/Anthropic. Charge ~$1-2/M tokens.
  • Monthly flat with cap: $X/month for N tokens. Predictable for customers.
  • Dedicated capacity: “your own instance” at $X/month. Highest margin but limited buyers.

Benchmarks

Competitor pricing (Q2 2026, per million output tokens):

  • OpenAI GPT-4o: ~$15
  • OpenAI GPT-4o-mini: ~$0.60
  • Anthropic Claude Haiku 4: ~$1-2
  • Together.ai Llama 3.3 70B: ~$0.60-$0.90
  • Your self-hosted Llama 3.3 70B: charge $0.50-$1.50 and still profit

Example

Charge $1/M tokens on Llama 3.3 70B. Your COGS: ~$0.30. Gross margin ~70%. Target 500k paying requests/month (500M tokens): $500 revenue, $150 COGS, $350 gross per month.

Scale the math with more dedicated servers as you grow. Each additional server expands capacity linearly at predictable COGS.

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