HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Mistral-Small-3.1-24B-Instruct-2503

mistralai/Mistral-Small-3.1-24B-Instruct-2503

kind
original
quant
bf16 (16-bit)
family
mistral
modality
—
root model
mistralai/Mistral-Small-3.1-24B-Base-2503
provider
mistralai
license
apache-2.0
language
en, fr, de, es, pt, it, ja, ko, ru, zh, ar, fa
context
—
library
vllm
vRAM (GB)
—
size on disk
—
downloads
271,011
likes
1,376
created
—
last modified
2025-12-22T10:15:41+00:00 (2025)
huggingface
https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503
tags
vllmsafetensorsmistral3mistral-commonenfrdeesptitjakoruzharfaidmsneplrosrsvtr

Benchmark scores (21)

benchmarkcategoryscorecontextconfevidence
DocVQAmultimodal94.08low| **Small 3.1 24B Instruct** | 64.00% | **49.25%** | **68.91%** | 86.24% | **94.08%** | **93.72%** | **7.3** |
RULERlong-context93.96RULER 32K | RULER 128Klow| **Small 3.1 24B Instruct** | **37.18%** | **93.96%** | 81.20% |
HumanEvalcoding88.41MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
ChartQAmultimodal86.24low| **Small 3.1 24B Instruct** | 64.00% | **49.25%** | **68.91%** | 86.24% | **94.08%** | **93.72%** | **7.3** |
MMLUknowledge81.01MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT)low| **Small 3.1 24B Base** | **81.01%** | **56.03%** | 80.50% | **37.50%** | **59.27%** |
MMLUknowledge80.62MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
TriviaQAknowledge80.5MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT)low| **Small 3.1 24B Base** | **81.01%** | **56.03%** | 80.50% | **37.50%** | **59.27%** |
MBPPcoding74.71MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
MATHmath69.3MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
MathVistamultimodal68.91low| **Small 3.1 24B Instruct** | 64.00% | **49.25%** | **68.91%** | 86.24% | **94.08%** | **93.72%** | **7.3** |
MMLU-Proknowledge66.76MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
MMMUmultimodal64.0low| **Small 3.1 24B Instruct** | 64.00% | **49.25%** | **68.91%** | 86.24% | **94.08%** | **93.72%** | **7.3** |
MMMUmultimodal59.27MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT)low| **Small 3.1 24B Base** | **81.01%** | **56.03%** | 80.50% | **37.50%** | **59.27%** |
MMLU-Proknowledge56.03MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT)low| **Small 3.1 24B Base** | **81.01%** | **56.03%** | 80.50% | **37.50%** | **59.27%** |
GPQA Diamondreasoning45.96MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
GPQAreasoning44.42MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
GPQAreasoning37.5MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT)low| **Small 3.1 24B Base** | **81.01%** | **56.03%** | 80.50% | **37.50%** | **59.27%** |
LongBenchlong-context37.18RULER 32K | RULER 128Klow| **Small 3.1 24B Instruct** | **37.18%** | **93.96%** | 81.20% |
RULERlong-context32.0mediumRULER 32
SimpleQAknowledge10.43MMLU Pro (5-shot CoT) | GPQA Main (5-shot CoT) | GPQA Diamond (5-shot CoT )low| **Small 3.1 24B Instruct** | 80.62% | 66.76% | 69.30% | **44.42%** | **45.96%** | 74.71% | **88.41%** | **10.43%** |
MT-Benchchat7.3low| **Small 3.1 24B Instruct** | 64.00% | **49.25%** | **68.91%** | 86.24% | **94.08%** | **93.72%** | **7.3** |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.