Mistral Small models
4 Mistral Small models on Hugging Face, from 23.6B to 24.0B parameters. At the precision each one is published in, the smallest needs about 52.7 GB of VRAM (Mistral-Small-24B-Instruct-2501, cheapest live fit: A100) and the largest about 53.7 GB (Dolphin-Mistral-24B-Venice-Edition, cheapest live fit: A100). The cheapest way to run Mistral-Small-24B-Instruct-2501 is $1.31/hr.
Mistral Small models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Mistral-Small-24B-Instruct-2501 | 23.6B | BF16 | 52.7 GB | A100 | $1.31/hr |
| Mistral-Small-24B-Instruct-2501 | 23.6B | BF16 | 52.7 GB | A100 | $1.31/hr |
| Dolphin3.0-R1-Mistral-24B | 23.6B | BF16 | 52.7 GB | A100 | $1.31/hr |
| Dolphin-Mistral-24B-Venice-Edition | 24.0B | BF16 | 53.7 GB | A100 | $1.31/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
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