Mistral: Mistral Large 3 2512

mistralai/mistral-large-2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Modalities

In / out price

$0.5 / $1.5 per 1M

Context

262K

Released

Dec 1, 2025

Why use Mistral Large 3 2512

Understands images
Reads PDFs and other files
Tool and function calling (agent-ready)
Structured (JSON) outputs

Pricing

Input	$0.5 / 1M tokens
Output	$1.5 / 1M tokens
Cached input (read)	$0.050 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index9.3

Coding index20.1

Agentic index1

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
Mistral: Mistral Large 3 2512	$0.0034	$3.40	$3.40

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Zoom (square size): 6pxZoom out to see a whole million-token window at once.