// mistralai

Mistral Large 3 2512 (batch)

mistralai/mistral-large-2512:batch

tool callingimage inputfile inputprompt caching
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Mistral Large 3 2512 (batch) costs $0.250 per 1M input tokens and $0.750 per 1M output tokens with a 262K-token context window.

A tool-calling model from mistralai, released Dec 1, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.250
Output / 1M
$0.750
Context
262K
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.250
Output price

USD per 1M completion tokens, reasoning included

$0.750
Blended price

3:1 input:output — #111 cheapest of 343 listed models

$0.375
Cached input read

Blank means not priced separately — not free

$0.025
Cache write
Context window262,144 tokens
Max output209,715 tokens
Input modalitiestext, image, file
Tool callingYes
Extended reasoningNo
Knowledge cutoff
ListedDec 1, 2025
All Mistral API pricing

What Mistral Large 3 2512 (batch) costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$103.80/mo
RAG assistant

8K in / 600 out × 100K requests

$155.00/mo
Coding agent

40K in / 4K out × 20K requests

$134.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$295.00/mo
Bulk classification

500 in / 20 out × 5M requests

$587.50/mo
Price your own workload

Compare Mistral Large 3 2512 (batch) with

Benchmarked models at a similar price.

Mistral Large 3 2512 (batch) FAQ

How much does Mistral Large 3 2512 (batch) cost?

Mistral Large 3 2512 (batch) lists at $0.250 per 1M input tokens and $0.750 per 1M output tokens, with cached input reads at $0.025 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $155.00 at list price.

What is the context window of Mistral Large 3 2512 (batch)?

Mistral Large 3 2512 (batch) accepts up to 262,144 tokens of context and can return up to 209,715 output tokens per response.

Does Mistral Large 3 2512 (batch) support tool calling?

Yes — Mistral Large 3 2512 (batch) supports tool (function) calling. It accepts text, image, file input.

How does Mistral Large 3 2512 (batch) score on benchmarks?

LiveBench has not published a run for Mistral Large 3 2512 (batch) yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for Mistral Large 3 2512 (batch)?

On OpenRouter the model ID is "mistralai/mistral-large-2512:batch". It was listed on Dec 1, 2025.

More from mistralai

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranksLiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.