Pixtral Large 2411 — Mistral AI | Modeldex

Pixtral Large 2411

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Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of [Mistral Large 2](/mistralai/mistral-large-2411). The model is able to understand documents, charts and natural images. The model is...

Updated 4 days agoStructured data from Modeldex catalog

Vision

Knowledge cutoff

Jul 31, 2024(1.7 years ago)

API release

Nov 19, 2024(1.4 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

Pixtral Large 2411 became available via the Mistral AI API on 2024-11-19.

Training & availability

Training data has a knowledge cutoff of 2024-07-31 — information about events after that date is unlikely to appear in the model's responses. Mistral AI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 131K tokens.
Input modalities: text, image.

Recommended for: vision.

Limitations

The knowledge cutoff is 20 months old — this model will not know about recent events, releases, or API changes.

Pricing

Input: $2.0000 per 1M tokens
Output: $6.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="mistral/pixtral-large-2411",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $2/1M

Output tokens / month2.0M

@ $6/1M

Input cost

$10

5.0M × $2/1M

Output cost

$12

2.0M × $6/1M

Total / month

$22

$264 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Mistral	47tok/s	607ms	$2	$6	131K	—	tools · json

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $5/1M
Pricing breakdown: $2/1M in
$6/1M out

Community ratings

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