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:$0.1 / 1M tokens
Output:$0.3 / 1M tokens
Context:40960 tokens
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Model Parameters
14 availablefrequency_penalty
-202
include_reasoning
logit_bias
logprobs
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
seed
stop
temperature
012
top_k
top_logprobs
top_p
011
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