Mistral AI
Mistral Large 2 (Nov 2024) benchmark results
8 results on 7 benchmarks from 5 sources.
Open weights Released: Nov 15, 2024 Updated Oct 22, 2026
Also listed as: mistral-large-2411 · mistral-large-2411 (FC) · mistral-large-2411 (Prompt) · Mistral-Large-Instruct-2411 · mistralai/Mistral-Large-Instruct-2411
All benchmark results
| Benchmarks | Score | Rank | Setting | Source type | Date |
|---|---|---|---|---|---|
| LMArena Text | 1306 | 279 | Overall, style control on; 28073 votes; 95% CI 1301–1310“mistral-large-2411” | Official leaderboard | Oct 8, 2026 |
| Open LLM Leaderboard v2 | 46.5% | 23 | Average of 6 normalised benchmarks; float16; 122.61B params“mistralai/Mistral-Large-Instruct-2411” | Official leaderboard | Mar 13, 2025 |
| GPQA Diamond | 51.3% | 201 | Epoch AI run, accuracy | Independent run | Feb 25, 2025 |
| MMLU-Pro | 67.9% | 109 | Overall accuracy; data source: TIGER-Lab; 123B“Mistral-Large-Instruct-2411” | Official leaderboard | Mar 11, 2026 |
| AIME (OTIS Mock AIME 2024–2025) | 7.8% | 220 | Epoch AI run, OTIS Mock AIME 2024–2025 | Independent run | Feb 25, 2025 |
| MATH Level 5 | 50.3% | 60 | Epoch AI run, accuracy | Independent run | Feb 25, 2025 |
| BFCL v4 (function calling) | 38.4% | 46 | Overall accuracy; native function calling (FC)“mistral-large-2411 (FC)” | Official leaderboard | Oct 17, 2026 |
| BFCL v4 (function calling) | 31.8% | 63 | Overall accuracy; prompt-based“mistral-large-2411 (Prompt)” | Official leaderboard | Oct 17, 2026 |
FAQ
Where do these Mistral Large 2 (Nov 2024) scores come from?
From Epoch AI Benchmarking Hub, Berkeley Function Calling Leaderboard (BFCL), LMArena leaderboard dataset, MMLU-Pro leaderboard (TIGER-Lab), and Hugging Face Open LLM Leaderboard v2 (archived). Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.