Mistral Large 4
Pricing updated daily · Last refreshed Oct 30, 2026Mistral model with a 1.05M-token context window, priced at $0.70 per million input tokens and $2.10 per million output tokens.
At a glance
- Provider
- Mistral
- Context window
- 1,048,576 tokens
- Max output
- 262,144 tokens
- Input price
- $0.70 / 1M tokens
- Output price
- $2.10 / 1M tokens
- Input types
- text, image
- Function calling
- Yes
- Released
- October 6, 2026
What it costs
Illustrative request sizes, not measurements of any real product. For your own volumes, use the cost estimator.
| Workload | Tokens in / out | Per request | Per 1,000 requests |
|---|---|---|---|
| Short chat reply | 1,000 / 500 | $0.0018 | $1.75 |
| Question over retrieved documents | 8,000 / 500 | $0.0066 | $6.65 |
| Summarise a long document | 50,000 / 1,500 | $0.0381 | $38.15 |
How it compares
- Input price ($0.70 per 1M tokens) is the 14th lowest of 30 models in the catalogue.
- Output price ($2.10 per 1M tokens) is the 14th lowest of 30.
- Context window (1.05M tokens) is the 7th largest of 30.
- Maximum output (262K tokens) is the 2nd largest of 30.
- On blended price it is 31% more expensive than the median Mistral model in the catalogue.
These are rankings by listed price and size within this catalogue (blended price weights input 3:1 against output), not a measure of output quality.
Cheaper models with the same capabilities
Lower blended price, at least the same context window, and the same input types and function calling.
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Llama 4 Scout | Meta | 1.31M | $0.10 | $0.30 |
| GPT-6 Luna Pro | OpenAI | 1.05M | $0.10 | $0.50 |
More from Mistral
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Mistral Medium 3.5 | Mistral | 262K | $1.50 | $7.50 |
| Mistral Small 4 | Mistral | 262K | $0.15 | $0.60 |
| Devstral 2 2512 | Mistral | 262K | $0.40 | $2.00 |
| Ministral 3 14B 2512 | Mistral | 262K | $0.20 | $0.20 |
Try it with your own text
- Token counter: see how many tokens a prompt uses (exact for OpenAI models, labelled estimates for others).
- Context window visualizer: see how much of this model’s 1.05M window a prompt fills.
- Model comparison: sort and filter every model, and export to CSV.
Source: OpenRouter’s public model catalogue (mistralai/mistral-large-4-0), read once a day. These are the prices OpenRouter charges; a provider’s own list price can differ, so check the provider before committing to a budget.