Mistral AI Pixtral Large 2411

Pixtral Large 2411 by Mistral AI excels in the Coding category, where it ranks #303 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Pixtral Large 2411 is priced at $2.00 per million input tokens and $6.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Pixtral Large 2411 holds rank #303 out of 341 models tracked. Its quality rank is #303 and adoption rank is #303. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Pixtral Large 2411 has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (94/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Pixtral Large 2411 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.

Pixtral Large 2411 supports a 131K token context window (131,072 tokens total). That translates to roughly 98,304 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Pixtral Large 2411 supports image understanding (vision), function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Pixtral Large 2411 was developed by Mistral AI. It was released on November 19, 2024. You can access it through Mistral AI's API. Check our provider page for all models from Mistral AI and how they compare against each other.

Pick Pixtral Large 2411 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Pixtral Large 2411 through Mistral AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.