GPT-4o mini vs Llama 70B (hosted): cost & margin
GPT-4o mini (OpenAI) and Llama 70B (hosted) (Meta (hosted)) sit at different price points. At a typical 500k/150k token mix per customer, GPT-4o mini is cheaper ($0.16 vs $0.41 per customer), and GPT-4o mini has the lower output-token price — the part that usually drives an AI SaaS bill.
| GPT-4o mini | Llama 70B (hosted) | |
|---|---|---|
| Input $/Mtok | $0.15 | $0.6 |
| Output $/Mtok | $0.6 | $0.7 |
| Cost / customer (typical) | $0.16 | $0.41 |
| Margin at $49/mo | 99.7% | 99.2% |
Cost per customer as usage grows
Monthly LLM cost per customer at four usage levels — the gap widens the more your customers use.
| Usage / mo | GPT-4o mini | Llama 70B (hosted) |
|---|---|---|
| Light | $0.03 | $0.08 |
| Typical | $0.16 | $0.41 |
| Heavy | $0.66 | $1.62 |
| Power user | $2.70 | $6.55 |
Which should you pick?
GPT-4o mini
Best when cost is the priority: cheaper on both input and output, so it keeps more customers profitable at any plan price.
Llama 70B (hosted)
Worth it when its quality justifies the higher token cost — price your plans to cover the difference.
Verdict: at a typical token mix, GPT-4o mini is the cheaper choice per customer. Heavier or output-heavy workloads can change the picture — check yours below.
FAQ
- Which is cheaper, GPT-4o mini or Llama 70B (hosted)?
- At a typical 500k / 150k token mix, GPT-4o mini is cheaper — $0.16 vs $0.41 per customer per month, a $0.25 gap that widens as usage grows.
- Does Llama 70B (hosted) ever make more sense than GPT-4o mini?
- Yes — token price isn't everything. If Llama 70B (hosted) needs fewer retries or shorter outputs to finish the job, or its quality lifts conversion, it can be the better margin call despite the higher per-token price. Model it on your own usage.
Per-model details
Other comparisons