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mistralai/mistral-small-24b-instruct-2501
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Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment. The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. [Read the blog post about the model here.](https://mistral.ai/news/mistral-small-3/)

1/30/2025
32,768 tokens
#207 Text (Korean)

Specifications

Modalities

Input
text
Output
text

Supported Parameters

frequency_penalty
logit_bias
max_tokens
min_p
presence_penalty
repetition_penalty
response_format
seed
stop
temperature
tool_choice
tools
top_k
top_p

Max Output Tokens

16,384

Frequently asked questions

Is Mistral Small 3 available on FastMetal?
Not at the moment. Voxtral Mini 3B, from the same lab, is available on the FastMetal API today.
What is the context window of Mistral Small 3?
32,768 tokens, shared between the prompt and the response.
How does Mistral Small 3 rank?
#228 on the public arena's Japanese board (ELO 1,150). Ranks move as the leaderboard is updated.

Leaderboard

Text
OverallELO: 1,274
#292
JapaneseELO: 1,150
#228
ChineseELO: 1,266
#290
KoreanELO: 1,239
#207
EnglishELO: 1,294
#286
frenchELO: 1,253
#240
germanELO: 1,256
#232
russianELO: 1,261
#285
CodingELO: 1,312
#282
MathELO: 1,261
#271
Creative WritingELO: 1,226
#294
Instruction FollowingELO: 1,255
#292
Hard PromptsELO: 1,285
#283
Multi-TurnELO: 1,250
#294