Dataset updated 2026-10-30Mistral Large 4
Mistral Large 4 is a 1049B-parameter mixture-of-experts model (49B active per token). Listed, never ranked: only its 1-bit, 2-bit and 3-bit builds fit a Mac, and they need 512GB of memory. It has no score, no speed estimate and no place in any ranking or machine page.
- Parameters
- 1049B(49B active)
- Format
- UD-IQ1_S
- Min memory
- 512 GB
- Best for
- Reasoning, Agentic coding, Vision, Long context
Which Mistral Large 4 builds fit a Mac?
| Build | Bits | Size | Fits |
|---|---|---|---|
| UD-IQ1_S | 1 | 233.01 GB | 512GB Mac, ~202 GB to spare |
| Q2_K | 2 | 380.71 GB | 512GB Mac, ~54 GB to spare |
| UD-IQ3_XXS | 3 | 423.52 GB | 512GB Mac, ~12 GB to spare |
| Q4_K_M | 4 | 634.80 GB | No Mac |
Mistral AI's open-weight flagship under the Mistral Ecosystem Open-Weight License, released on 29 October 2026: about 1T total parameters (the GGUF header counts 1,049,357,365,536), 49B active per token across 128 routed experts (4 active, 1 shared), text and image input, and a 1,048,576-token window in config.json. Ollama lists only a cloud tag.
Size = the build's GGUF files on Hugging Face. "Fits" = weights within the engine's model budget (about 435 GB on a 512GB Mac), before context and the vision projector. Why we never rank 2-bit quants · Hugging Face model card
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Frequently asked questions
Can I run Mistral Large 4 on a Mac?
Only on a Mac with 512GB of memory, which leaves about 435 GB for models. Builds that fit: unsloth's UD-IQ1_S (233.01 GB, 1-bit), ggml-org's Q2_K (380.71 GB, 2-bit) and unsloth's UD-IQ3_XXS (423.52 GB, 3-bit). Too large for any Mac: ggml-org's Q4_K_M (634.80 GB, 4-bit). A 256GB Mac leaves about 218 GB, under the smallest build.
Why doesn't ModelFit rank Mistral Large 4?
Its 1-bit and 2-bit builds are a class ModelFit never ranks. UD-IQ3_XXS (3-bit, 423.52 GB) fits a 512GB Mac with only about 12 GB to spare, too little for the context cache and the runtime buffers. ModelFit lists the model with its build sizes, read from the Hugging Face file listings, and leaves it out of every ranking, score, speed estimate and machine page.
Cite this page
ModelFit: Mistral Large 4, specs, memory math and hardware verdicts. https://modelfit.io/models/mistral-large-4/ (dataset updated 2026-10-30, CC BY 4.0).