Mistral AI · Schema

Mistral AI Model

Schema for a Mistral AI model object, representing a base or fine-tuned language model with its capabilities and metadata.

AgentsArtificial IntelligenceBatch ProcessingChatEmbeddingsFine-TuningLarge Language ModelsOCR

Properties

Name	Type	Description
id	string	The unique model identifier used in API requests.
object	string	The object type, always model.
created	integer	Unix timestamp when the model was created.
owned_by	string	The organization that owns the model.
name	string	The human-readable display name of the model.
description	string	A description of the model and its intended use cases.
max_context_length	integer	Maximum context length in tokens supported by the model.
aliases	array	Alternative identifiers that can be used to reference the model.
deprecation	string	The deprecation date of the model, if scheduled.
capabilities	object
type	string	Whether this is a base model or a fine-tuned model.

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://mistral.ai/schemas/mistral-ai/model.json",
  "title": "Mistral AI Model",
  "description": "Schema for a Mistral AI model object, representing a base or fine-tuned language model with its capabilities and metadata.",
  "type": "object",
  "required": ["id", "object"],
  "$defs": {
    "ModelCapabilities": {
      "type": "object",
      "description": "The capabilities supported by a model.",
      "properties": {
        "completion_chat": {
          "type": "boolean",
          "description": "Whether the model supports chat completions."
        },
        "completion_fim": {
          "type": "boolean",
          "description": "Whether the model supports fill-in-the-middle completions."
        },
        "function_calling": {
          "type": "boolean",
          "description": "Whether the model supports function calling."
        },
        "fine_tuning": {
          "type": "boolean",
          "description": "Whether the model can be used as a base for fine-tuning."
        },
        "vision": {
          "type": "boolean",
          "description": "Whether the model supports vision and image inputs."
        }
      }
    }
  },
  "properties": {
    "id": {
      "type": "string",
      "description": "The unique model identifier used in API requests."
    },
    "object": {
      "type": "string",
      "description": "The object type, always model.",
      "const": "model"
    },
    "created": {
      "type": "integer",
      "description": "Unix timestamp when the model was created."
    },
    "owned_by": {
      "type": "string",
      "description": "The organization that owns the model."
    },
    "name": {
      "type": "string",
      "description": "The human-readable display name of the model."
    },
    "description": {
      "type": "string",
      "description": "A description of the model and its intended use cases."
    },
    "max_context_length": {
      "type": "integer",
      "description": "Maximum context length in tokens supported by the model.",
      "minimum": 1
    },
    "aliases": {
      "type": "array",
      "description": "Alternative identifiers that can be used to reference the model.",
      "items": {
        "type": "string"
      }
    },
    "deprecation": {
      "type": "string",
      "format": "date-time",
      "description": "The deprecation date of the model, if scheduled."
    },
    "capabilities": {
      "$ref": "#/$defs/ModelCapabilities"
    },
    "type": {
      "type": "string",
      "description": "Whether this is a base model or a fine-tuned model.",
      "enum": ["base", "fine-tuned"]
    }
  }
}