Mistral: Pixtral Large 2411

Public pricingIntelligence 79/100Medium memoryVisionTool use

Mistral: Pixtral Large 2411 is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 131K tokens context window and a balanced-cost profile. Use it for vision-language understanding and content analysis when quality, speed, and cost matters.

Input

$2.00/1M

Output

$6.00/1M

Cached

$0.20/1M

Batch

$1.00/1M

Calculate your Pixtral Large 2411 bill.

Set your workload — see cost at your exact volume.

What would Pixtral Large 2411 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Pixtral Large 2411 at a glance.

Memory

131,072

tokens

Max reply

4,096

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Nov 2024

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    14

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Pixtral Large 2411

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Pixtral Large 2411 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Pixtral Large 2411 costs roughly $390 per month. Input is $2.00 /1M tokens and output is $6.00 /1M tokens.
Pixtral Large 2411 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Pixtral Large 2411 supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Pixtral Large 2411 was released in November 2024, with training data cut off around July 2024.
Models in a similar class include Mistral Large 3 2512, Mistral Medium 3, Mistral Medium 3.1. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Pixtral Large 2411 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard