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Mistral · open-weights

Mistral Small 3.2

Mistral Small 3.2 is an open-weights language model from Mistral, released June 15, 2025. Its makers disclosed about 24B parameters. The context window is 125K tokens. API price: $0.1 input / $0.3 output per million tokens.

Mistral-Small-3.2-24B-Instruct-2506 is a minor update of Mistral-Small-3.1-24B-Instruct-2503. Small-3.2 improves in the following categories: Instruction following: Small-3.2 is better at following precise instructions Repetition errors: Small-3.2 produces less infinite generations or repetitive answers Function …

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Lab
Mistral
Released
June 15, 2025
Weights
Open
Parameters
24B disclosed
Context
125K
Price / M tokens
$0.1 / $0.3 in / out
Epoch ECI
not yet rated

Can you run Mistral Small 3.2 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for Mistral Small 3.2 yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from Mistral

Mistral Large 4 · Mistral Large 4 Preview · Mistral Large 4 1T A52B · Leanstral 1.5 · Mistral Medium 3.5 · Mistral Small 4 · Devstral Small 2 · Devstral 2

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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