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magistral-small-2506

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Magistral Small is a 24B parameter instruction-tuned model based on Mistral-Small-3.1 (2503), enhanced through supervised fine-tuning on traces from Magistral Medium and further refined via reinforcement learning. It is optimized for reasoning and supports a wide multilingual range, including over 20 languages.

Input:$0.5 / 1M tokens
Output:$1.5 / 1M tokens
Context:40K tokens
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Model Parameters
12 available
frequency_penalty
-202
include_reasoning
max_tokens
presence_penalty
-201.999
response_format
seed
stop
structured_outputs
temperature
012
tool_choice
tools
top_p
011
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