Compare AI models
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.50 | $1.10 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $1.50 | $4.40 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.275 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.50Mistral | $1.10OpenAI |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $1.50Mistral | $4.40OpenAI |
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 2% | 8% |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | Dec 2 2025 | Apr 16 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
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o4-mini leads Mistral Large 3 on 1 of the 1 benchmark they both report (BullshitBench v2). Mistral Large 3 is cheaper on both input and output: $0.50 vs $1.10 per million input tokens, and $1.50 vs $4.40 per million output tokens. o4-mini shipped 230 days before Mistral Large 3, so benchmark comparisons should account for the intervening progress.
Mistral Large 3 is open weight, while o4-mini is closed.
On BullshitBench v2, o4-mini leads at 8% vs Mistral Large 3 at 2%.