Side-by-side technical and economic comparison between Mistral AI's Mistral Large 3 and OpenAI's OpenAI o5-mini.
| Metric | Mistral Large 3 | OpenAI o5-mini | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | OpenAI | — |
| Standard Input / 1M | $0.50 | $0.80 | Mistral Large 3 (38% lower) |
| Cached Input / 1M | $0.05 | $0.20 | Mistral Large 3 lower |
| Output / 1M | $1.50 | $3.20 | Mistral Large 3 lower |
| Context Window | 256k | 200k | Mistral Large 3 (256k) |
| Max Generation Tokens | 16.4k | 100k | OpenAI o5-mini |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
Opt for Mistral Large 3 when your engineering requirements prioritize Mistral AI's ecosystem, specific tokenizer efficiencies (Calibrated Mistral Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.5/M input rate.
Opt for OpenAI o5-mini when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $3.2/M rate.