Mistral Large 4 is an open-weight, general-purpose multimodal model (text and image input) with a granular Mixture-of-Experts architecture, built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.
$0.35market price $0.70
$0.035market price $0.07
$1.05market price $2.10
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Mistral Large 4 is an open-weight, general-purpose multimodal model (text and image input) with a granular Mixture-of-Experts architecture, built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.
On NagaAI, Mistral Large 4 costs $0.35 per 1M input tokens and $1.05 per 1M output tokens. You pay only for what you use, with no subscription.
Mistral Large 4 reads up to 524.3k tokens in one request, counting the prompt and the answer together.
Yes. Mistral Large 4 can call your functions as tools and can answer in a JSON schema you give it.
It takes text and images as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.