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Text model

Mistral Large 2512

mistralai/mistral-large-2512

mistralai/mistral-large-2512 is a language model from Mistral AI you can call on the OceanToken API, with a 262K-token context window and up to 210K output tokens; it supports tool calling, image input, file input.

Price card, similar models and questions answered: Mistral Large 2512 on oceantoken.ai.

At a glance

Model IDmistralai/mistral-large-2512
TypeText
PublisherMistral AI
Context window262,144 tokens
Max output209,715 tokens
PriceOn oceantoken.ai
Capabilitiestool calling, image input, file input
Endpoint/v1/chat/completions, /v1/responses
API shapeOpenAI-compatible
In the catalog since2025-12-01

API

POST /v1/chat/completions (also /v1/responses and /v1/messages). Base URL https://api.oceantoken.ai, your OceanToken key as the bearer token. The OpenAI SDKs work unchanged; see the Quickstart.

Download this spec (JSON) · llms.txt for AI assistants

Basic

curl https://api.oceantoken.ai/v1/chat/completions \
-H "Authorization: Bearer $OCEANTOKEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-large-2512",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'

Image input

curl https://api.oceantoken.ai/v1/chat/completions \
-H "Authorization: Bearer $OCEANTOKEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-large-2512",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://example.com/photo.jpg"
}
}
]
}
]
}'

Request parameters

Only what this model takes. Anything else in the request is left out before it reaches the model.

ParameterTypeDescription
model
required
stringThis model's ID.
messages
required
arrayThe conversation so far: objects with a role (system, user, assistant or tool) and a content, a string or a list of content parts: text, and images, video, audio or files on models that take them.
streamboolean
default false
Send the answer as server-sent events as it is written.
stream_optionsobjectWith stream: {"include_usage": true} adds a last event with the token counts.
max_tokensinteger
1 to 209715
The most tokens to write, reasoning included. max_completion_tokens is accepted as the same thing.
temperaturenumber
0 to 2
default 0.0645
Randomness: lower is more focused, higher more varied.
top_pnumber
0 to 1
Nucleus sampling: only the most likely tokens whose probabilities add up to this are considered.
frequency_penaltynumber
-2 to 2
Positive values make the model less likely to repeat the same words.
presence_penaltynumber
-2 to 2
Positive values make the model more likely to move to new topics.
stopstring or arrayUp to 4 strings; the answer ends before any of them.
seedintegerAsk for the same answer to the same request (best effort).
response_formatobject
json_object, json_schema
{"type": "json_object"} for JSON output, or {"type": "json_schema", "json_schema": {"name": ..., "schema": {...}}} for output that matches your schema.
toolsarrayFunctions the model may call: {"type": "function", "function": {"name", "description", "parameters"}}.
tool_choicestring or objectauto (default), none, required, or {"type": "function", "function": {"name": ...}}.
parallel_tool_callsbooleanfalse asks for at most one tool call per turn.
userstringYour own ID for the end user, for your records.

Message content

Besides a plain string, a message's content can be a list of parts:

image_url

An image, as a public https:// URL or a data URL.

FieldTypeDescription
image_url.url
required
stringhttps:// URL or data:image/...;base64,....
{
"type": "image_url",
"image_url": {
"url": "https://example.com/photo.jpg"
}
}

file

A document such as a PDF, by URL or as base64.

FieldTypeDescription
file.file_data
required
stringA data URL or an https:// URL.
{
"type": "file",
"file": {
"file_data": "data:application/pdf;base64,...",
"filename": "report.pdf"
}
}

Response

FieldTypeDescription
idstringThe request's ID.
choices[].message.contentstringThe answer.
choices[].message.reasoning_contentstringThe model's reasoning, on models that return it.
choices[].message.tool_callsarrayThe tools the model wants called, with JSON arguments.
choices[].finish_reasonstringstop, length (hit max_tokens), tool_calls or content_filter.
usage.prompt_tokensintegerInput tokens, media included.
usage.completion_tokensintegerOutput tokens, reasoning included.
usage.prompt_tokens_details.cached_tokensintegerInput tokens read from the prompt cache.
usage.completion_tokens_details.reasoning_tokensintegerOutput tokens spent reasoning.

With stream: true, chat.completion.chunk events carry choices[].delta; the stream ends with data: [DONE].

Example response
{
"id": "chatcmpl-...",
"object": "chat.completion",
"created": 1792000000,
"model": "mistralai/mistral-large-2512",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "...",
"reasoning_content": null,
"tool_calls": null
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 20,
"total_tokens": 32,
"prompt_tokens_details": {
"cached_tokens": 0
},
"completion_tokens_details": {
"reasoning_tokens": 0
}
}
}

More examples and how errors and billing work: Text generation.

Compared with similar models

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ModelPublisherContext
Mistral Large 2512
mistralai/mistral-large-2512
Mistral AI262,144
Command A Plus
cohere/command-a-plus
Cohere128K
Gemini 3.1 Flash Lite
google/gemini-3.1-flash-lite
Google1.05M
Gemini 3.1 Flash Lite Preview
google/gemini-3.1-flash-lite-preview
Google1.05M

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The facts on this page were read from the live OceanToken catalog on 2026-11-05 (UTC), when the documentation was built. Prices are published on oceantoken.ai.