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Mistral · open-weights

Mistral Small 4

Mistral Small 4 is an open-weights language model from Mistral, released March 16, 2026. Its makers disclosed about 119B parameters. The context window is 256K tokens. API price: $0.15 input / $0.6 output per million tokens.

Today, we are announcing Mistral Small 4. This model is the next major release in the Mistral Small family. Mistral Small 4 is the first Mistral model to unify the capabilities of our flagship models, Magistral for reasoning, Pixtral for multimodal, and Devstral for agentic coding, into a single, versatile model.

Check it against your own PC →

Lab
Mistral
Released
March 16, 2026
Weights
Open
Parameters
119B disclosed
Context
256K
Price / M tokens
$0.15 / $0.6 in / out
Epoch ECI
not yet rated

Can you run Mistral Small 4 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 4 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 · Devstral Small 2 · Devstral 2 · Ministral 3 3B

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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