What affects cost
- Selected Mistral model and service
- Input and output token volume
- Cached versus uncached repeated context
- Synchronous versus Batch processing
- OCR, audio, fine-tuning, or dedicated deployment units
LLM API
Mistral API pricing
Mistral API pricing separates standard input and output tokens from cached-input and Batch processing discounts.
Decision summary: Consider Mistral when its model portfolio, open-weight options, deployment choices, and token discounts fit the workload and operating requirements.
Pricing overview
Usage-based per-model token pricing with documented Batch and cached-input discounts; other products and deployment modes use separate terms.
| Plan or model | Pricing posture | Decision note |
|---|---|---|
| Mistral Large | $2.00 / 1M input; $6.00 / 1M output | The official pricing FAQ uses Mistral Large as its API pricing example. Verify the exact active model identifier before deployment. |
| Batch processing | 50% discount | Mistral documents half-price Batch processing for high-volume workloads that do not need synchronous responses. |
| Cached input tokens | 90% input-token discount | The official API pricing interface documents a 90% discount on cached input tokens for repeated prompts. |
| Other active API models | Check current per-model API table | Mistral Medium 3.5, Mistral Small 4, OCR, audio, and other services have model- or unit-specific pricing that should not be inferred from Mistral Large. |
Lower-cost options from the same provider
- Mistral Small for cost-sensitive tasks after quality testing
- Batch processing for eligible asynchronous jobs
- Cached input for repeated prompts and stable shared context
Alternative providers or products
- OpenAI API
- Anthropic API
- Google Gemini API
- Together AI or GroqCloud for supported open-model inference
Best for
- teams evaluating Mistral-hosted API models
- batch workloads that can use asynchronous processing
- repeated-context workloads eligible for cached-input discounts
Not ideal for
- buyers treating every Mistral product as one token rate
- real-time workloads modeled using Batch discounts
- teams that have not verified the exact active model identifier
FAQ
Questions teams ask before choosing
How is Mistral API usage billed?
Text-model usage is generally billed per million input and output tokens, with separate discounts or units for caching, Batch, OCR, audio, fine-tuning, and deployment products.
Can every workload use the 50% Batch discount?
No. Batch is intended for asynchronous processing. Real-time requests should be budgeted using the applicable standard model rate.