Mistral: Pixtral Large 2411
Mistral AI • LLM
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...
Specifications
Context Window
131K tokens
Input Price/1M
$2.00
Output Price/1M
$6.00
Parameters
—
Speed
60 tok/s
Latency (TTFT)
630ms
Benchmarks
Mistral: Pixtral Large 2411 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 29.0 | 100.0 | — |
| LiveCodeBench | 26.0 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 70.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 10.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 71.4 | 100.0 | Artificial Analysis official API |
| AA Math Index | 2.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 2.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 14.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 70.1 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 51.0 | 100.0 | Artificial Analysis official API |
| IFBench | 34.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 37.0 | 100.0 | — |
Information
- Release date
- November 18, 2024
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Pixtral Large 2411
What is Mistral: Pixtral Large 2411?
Mistral: Pixtral Large 2411 is an AI model developed by Mistral AI, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Mistral AI's cloud API. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Mistral: Pixtral Large 2411 is usage-based, priced at $2/1M input tokens and $6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Mistral: Pixtral Large 2411 was evaluated on 13 different benchmarks, covering categories like Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Mistral: Pixtral Large 2411 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Pixtral Large 2411 competes directly with similarly capable models. Mistral AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Mistral: Pixtral Large 2411?
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...
How much does Mistral: Pixtral Large 2411 cost?
Mistral: Pixtral Large 2411 costs $2/1M input tokens and $6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Mistral: Pixtral Large 2411 compare with other models?
In available benchmarks, Mistral: Pixtral Large 2411 scored: SciCode: 29/100, LiveCodeBench: 26/100, MMLU-Pro: 70/100. See the full table above for a detailed comparison.
Is Mistral: Pixtral Large 2411 open source?
No, Mistral: Pixtral Large 2411 is a proprietary model from Mistral AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Mistral: Pixtral Large 2411 best for?
Mistral: Pixtral Large 2411 excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →