Mistral Large 4 API Pricing

These are the tracked rates, not a live quote. Hosted-provider choice, region, long-context tiers, caching, batch discounts, and temporary promotions can change the actual bill. Open-weight availability does not mean hosted inference is free. Workload examples assume the listed standard input and output rates, with no cache hits or discounts.

Official release and model references

These references document the model and its release; not every reference is a pricing table. Confirm the applicable endpoint and billing tier with your inference provider before purchase.

• mistral.ai/news/mistral-large-4/
• docs.mistral.ai/models/mistral-large-4
• docs.mistral.ai/inference/pricing

Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Mistral Large 4.

In AI IQ's scoring, Mistral Large 4's list price is adjusted by a token-usage multiplier of 1.584 (measured from real benchmark runs), giving an effective cost of $8.77 per 1M input + output tokens. That places it #102 of 147 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.

Models with a lower effective cost that score within a few IQ points of Mistral Large 4 (IQ 118), or better.