Mistral Small (2603) vs GPT-6 Luna
Mistral Small (2603) (Mistral) costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-6 Luna (OpenAI) costs $0.10 and $0.50. GPT-6 Luna is 1.3× cheaper for a typical 3:1 input-to-output mix. GPT-6 Luna has the larger context window (922K vs 262K tokens).
| Mistral Small (2603) | GPT-6 Luna | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Input / 1M tokens | $0.15 | $0.10 |
| Output / 1M tokens | $0.60 | $0.50 |
| Cached input / 1M | $0.015 | $0.01 |
| Blended (3:1) | $0.26 | $0.20 |
| Context window | 262K | 922K |
| Max output | 262K | 128K |
| Vision | Yes | Yes |
| Tool use | Yes | Yes |
| Reasoning | Yes | Yes |
| Listed since | Aug 16, 2026 | Sep 27, 2026 |
Cost per 1,000 requests
| Workload | Mistral Small (2603) | GPT-6 Luna |
|---|---|---|
| Chatbot reply2,000 input + 500 output tokens | $0.60 | $0.45 |
| RAG / search answer8,000 input + 700 output tokens | $1.62 | $1.15 |
| Long-document summary100,000 input + 2,000 output tokens | $16.20 | $11.00 |
Blended price history
Blended = (3 × input + output) ÷ 4, per million tokens. Each line starts when the model first appeared in the price list.
The companies
List prices for each provider's own API (USD), taken daily from LiteLLM's public model price list. Batch, caching and committed-use discounts aren't reflected. Price alone says nothing about output quality; check benchmarks and your own evaluations before switching.