Mistral Large

Mistral's state-of-the-art, open-weight, general-purpose multimodal flagship.

Context window

128000

Input / 1M tokens

2.00

Output / 1M tokens

6.00

Provider

Mistral AI

Mistral's pricing page lists Mistral Large at $2 per 1M input tokens and $6 per 1M output tokens. Batch API typically applies a 50% discount. · Data verified 2026-07-02

Mistral Large is Mistral AI's flagship general-purpose model. As of mid-2026 the 'mistral-large-latest' alias resolves to Mistral Large 3 (dated build mistral-large-3-25-12, released December 2025), described in Mistral's docs as a state-of-the-art, open-weight, general-purpose multimodal model. It targets high-end reasoning, multilingual work, coding, and structured output, and is available both via the Mistral API and as downloadable weights.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding

Reasoning

Math

Multimodal

Long context

Speed

Cost efficiency

How to access it

Call the Mistral API (La Plateforme) with model id 'mistral-large-latest' (currently resolving to Mistral Large 3, dated build mistral-large-3-25-12), use Le Chat, or access via cloud partners. Open weights are also released for self-hosting.

Get access →Documentation →

Strengths

✓State-of-the-art general-purpose reasoning and multilingual performance
✓Open-weight release enabling self-hosting and customization
✓Multimodal (handles text and images)
✓Strong at code, JSON, and structured output across 80+ programming languages
✓Broad multilingual coverage (French, German, Spanish, Italian, and many more)

Best for developers who...

Multilingual reasoning and generationStructured/JSON output and codingOpen-weight flagship deploymentsData-sovereign self-hosting

When to choose it (and when not to)

Reach for Mistral Large when...

→You need a strong European-built flagship with open weights
→Your work is multilingual or requires nuanced reasoning
→You want structured/JSON output and solid coding ability
→You need the option to self-host for data sovereignty

Look elsewhere if...

✕You need the very cheapest option (smaller Mistral or open models cost less)
✕You need a confirmed, specific context-window guarantee (not published on the pages reviewed)
✕You need audio or video input
✕Ultra-low latency at high volume is the priority over capability

How to use it

›Use the system message to fix role, language, and output schema
›Request explicit JSON and provide a schema for reliable structured output
›For multilingual tasks, state the target language clearly
›Break complex reasoning into steps or ask for a plan before the answer

Quickstart

Python

from mistralai import Mistral

client = Mistral(api_key="YOUR_MISTRAL_API_KEY")

resp = client.chat.complete(
    model="mistral-large-latest",
    messages=[{"role": "user", "content": "Explain the CAP theorem in three sentences."}],
)
print(resp.choices[0].message.content)

Requires the official 'mistralai' Python SDK (pip install mistralai). The 'mistral-large-latest' alias always points at the newest Large build.

API model id: mistral-large-latest