#159
MA
Pixtral 12B
Mistral AI
15.2 LLMBoard
Mistral AI model product
Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters. Magistral Small can be deployed locally, fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized.
Updated Aug 10, 2026. Default version: Magistral Small 2506
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
No published version under this unique model currently has enough benchmark coverage to calculate a score.
Published benchmark records for the scored version currently unavailable.
No published benchmark result is linked to the scored version.
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Nvidia | mistralai/magistral-small-2506 | global | N/A | N/A | 32.8K | |
| IO.NET | mistralai/Magistral-Small-2506 | global | $0.50 | $1.5 | 128K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Magistral Small 2506 | N/A | 24B | 131.1K | 8.2K | Yes | Apache 2.0 |
A concise description based on the published model registry.
Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters. Magistral Small can be deployed locally, fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Magistral Small.
Magistral Small's default version was released on Jun 10, 2025.
No official standard PAYG price is currently available for Magistral Small. The lowest tracked third-party offer starts at $0.50 input and $1.5 output via IO.NET.
Magistral Small is published under Mistral AI in the model registry.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
2 published provider offerings are linked to the default version.
No nearby ranked alternatives are currently available.