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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
16,384Frequently 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
#292JapaneseELO: 1,150
#228ChineseELO: 1,266
#290KoreanELO: 1,239
#207EnglishELO: 1,294
#286frenchELO: 1,253
#240germanELO: 1,256
#232russianELO: 1,261
#285CodingELO: 1,312
#282MathELO: 1,261
#271Creative WritingELO: 1,226
#294Instruction FollowingELO: 1,255
#292Hard PromptsELO: 1,285
#283Multi-TurnELO: 1,250
#294