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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
#193 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
16,384Leaderboard
Text
๐OverallELO: 1,274
#270๐ฏ๐ตJapaneseELO: 1,151
#212๐จ๐ณChineseELO: 1,265
#269๐ฐ๐ทKoreanELO: 1,239
#193๐ฌ๐งEnglishELO: 1,294
#264frenchELO: 1,253
#224germanELO: 1,256
#216russianELO: 1,260
#263๐ปCodingELO: 1,312
#260๐งฎMathELO: 1,262
#255โ๏ธCreative WritingELO: 1,227
#274๐Instruction FollowingELO: 1,255
#270๐ถ๏ธHard PromptsELO: 1,285
#261๐ฌMulti-TurnELO: 1,249
#271