Text / LLM / Model
Pixtral Large
- Organisation
- Mistral AI
- Family
- Pixtral · version 2411
- Released
- 2024-11-18 (Mistral blog post 'Pixtral Large' dated November 18, 2024 (https://mistral.ai/news/pixtral-large))
- Checkpoints
- mistralai/Pixtral-Large-Instruct-2411
- Weights
- Open · Mistral Research License (MRL); commercial license available
- Links
- Model card
Training data disclosure: Vague
Level determined for 0% of benchmark cells.
- TestTest data seen0
- SeenSeen, split unclear0
- TrainTraining data seen0
- Related data seen0
- NoNot seen0
- ?Unknown22
“Today we announce Pixtral Large, a 124B open-weights multimodal model built on top of Mistral Large 2.”
Other declared training data
-
pre-training data of base model Mistral Large 2 (broad web data: may contain benchmark test sets) · split: unknown
Mistral Large 2 is not in the registry; no data described.
Evidence
“Today we announce Pixtral Large, a 124B open-weights multimodal model built on top of Mistral Large 2.”
mistral.ai · website · Introduction · retrieved 2026-10-15
Benchmark cells
Classic LLM benchmarks
Unknown MMLU (Measuring Massive Multitask Language Understanding) · training data not disclosed in enough detail
Unknown GSM8K (Grade School Math 8K) · training data not disclosed in enough detail
Unknown MATH (Mathematics Aptitude Test of Heuristics) · training data not disclosed in enough detail
Unknown HumanEval · training data not disclosed in enough detail
Unknown ARC-Challenge (AI2 Reasoning Challenge, Challenge Set) · training data not disclosed in enough detail
Unknown HellaSwag · training data not disclosed in enough detail
Unknown TruthfulQA · training data not disclosed in enough detail
Unknown WinoGrande · training data not disclosed in enough detail
Multimodal LLM benchmarks
Unknown MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning) · training data not disclosed in enough detail
Unknown MMMU-Pro · training data not disclosed in enough detail
Unknown MathVista · training data not disclosed in enough detail
Unknown ChartQA · training data not disclosed in enough detail
Unknown DocVQA · training data not disclosed in enough detail
Unknown AI2D (AI2 Diagrams) · training data not disclosed in enough detail
Unknown CharXiv · training data not disclosed in enough detail
Recent LLM benchmarks
Unknown GPQA Diamond · training data not disclosed in enough detail
Unknown MMLU-Pro · training data not disclosed in enough detail
Unknown LiveCodeBench (code generation, release_v6) · training data not disclosed in enough detail
Unknown SWE-bench Verified · training data not disclosed in enough detail
Unknown AIME 2024 · training data not disclosed in enough detail
Unknown AIME 2025 · training data not disclosed in enough detail
Unknown MATH-500 · training data not disclosed in enough detail
Notes
No technical report; nothing is said about the multimodal training data beyond the base model. Marked deprecated on the Mistral website. Accepts image input: “Particularly, the model is able to understand documents, charts and natural images, while maintaining the leading text-only understanding of Mistral Large 2.”
Sources
- Mistral blog: Pixtral Large (2024-11-18) · website · retrieved 2026-10-15
- Pixtral-Large-Instruct-2411 model card · model card · retrieved 2026-10-15