Mistral 7B v0.1 vs Mistral Small 3.2 24B Instruct 2506

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Mistral 7B v0.1

Mistral AI · 7B

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Specifications

Mistral 7B v0.1Mistral Small 3.2 24B Instruct 2506
Parameters7B24.0B
Context33K131K
ArchitectureMistralForCausalLMMistral3ForConditionalGeneration
LicenseApache 2.0Apache 2.0
Downloads539.9K592.6K
ReleasedJul 2025

VRAM by Quantization: Mistral 7B v0.1 vs Mistral Small 3.2 24B Instruct 2506

QuantizationBitsMistral 7B v0.1 VRAMMistral Small 3.2 24B Instruct 2506 VRAM
Q2_K3.403.5 GB
Q3_K_M3.904.0 GB
Q3_K_S3.503.6 GB
Q4_04.004.1 GB
Q4_K_M4.804.8 GB
Q5_K_M5.705.6 GB
Q6_K6.606.3 GB
Q8_08.007.6 GB

Verdict

Mistral Small 3.2 24B Instruct 2506 supports a longer context window (131K tokens). Mistral Small 3.2 24B Instruct 2506 is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, Mistral 7B v0.1 or Mistral Small 3.2 24B Instruct 2506?

Mistral 7B v0.1 supports 32,768 tokens and Mistral Small 3.2 24B Instruct 2506 supports 131,072 tokens.

What is the difference between Mistral 7B v0.1 and Mistral Small 3.2 24B Instruct 2506?

Mistral 7B v0.1 is a 7B model from Mistral AI (Mistral family), while Mistral Small 3.2 24B Instruct 2506 is a 24.0B model from Mistral AI (Mistral family). Compare their VRAM requirements above to see which fits your GPU or Mac.