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Comparison table
| Item | Mistral-Small-3.2-24B-Instruct-2506 mistralai ✕ Remove |
|---|---|
| Parameters | 23.6B |
| Architecture | llama |
| Max context length | 131,072 |
| Representative quantization and size Measured | Q4_K_M · 14.3 GB |
| Memory at 8K Estimated | 16.5 GB |
| Memory at 32K Estimated | 20.5 GB |
| VRAM it fits (8K) Estimated | VRAM 16 GB+ |
| Smallest quantization (8K) Estimated | UD-IQ1_S · 5.56 GB → 7.71 GB |
| License | Apache License 2.0 Commercial OK |
| llama.cpp support | Supported before llama.cpp b4409 |
| Downloads (30 days, total) | 191,907 |
| Human preference (LMArena) | - |
| Capabilities (Epoch AI) | - |
| Hard science (GPQA) | 49.1% mistral-small-3.2-2506 |
- The representative quantization is Q4_K_M (or the smallest one if missing) from the source with the most downloads. Memory is estimated with an f16 KV cache.
- Third-party evaluations are other organizations' values for the original model before quantization, not this site's rating (sources are on the ranking page).
- This site does not judge which model is better or give an overall score.