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Canonical Rankings

Best Macs for this model

Magistral Small ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.

29 ranked MacsUse the strongest current runtime evidence for each row.28 historical models hiddenStatic paths cover only canonical model pages; sort and quantization stay as query state.
RankMacScoreQuantTok/sRuntimeFitsHeadroomContextEvidencePriceWhy it ranks here
1Mac Studio M3 Ultra 256GB2828bit Measure it Best availableFits231.9 GB41kFit-first$7,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 231.9 GB headroom remains at this quantization.
2Mac Pro M2 Ultra 192GB2188bit Measure it Best availableFits167.9 GB41kFit-first$6,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 167.9 GB headroom remains at this quantization.
3Mac Studio M4 Max 128GB1548bit Measure it Best availableFits103.9 GB41kFit-first$4,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 103.9 GB headroom remains at this quantization.
4MacBook Pro M5 Max 128GB 16-inch1548bit Measure it Best availableFits103.9 GB41kFit-first$5,3998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 103.9 GB headroom remains at this quantization.
5MacBook Pro M4 Max 128GB 16-inch1548bit Measure it Best availableFits103.9 GB41kFit-first$5,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 103.9 GB headroom remains at this quantization.
6Mac Studio M3 Ultra 96GB1228bit Measure it Best availableFits71.9 GB41kFit-first$3,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 71.9 GB headroom remains at this quantization.
7Mac Studio M4 Max 64GB908bit Measure it Best availableFits39.9 GB41kFit-first$2,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 39.9 GB headroom remains at this quantization.
8MacBook Pro M4 Max 64GB 16-inch908bit Measure it Best availableFits39.9 GB41kFit-first$4,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 39.9 GB headroom remains at this quantization.
9Mac Mini M4 Pro 48GB748bit Measure it Best availableFits23.9 GB41kFit-first$1,5998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
10MacBook Pro M4 Pro 48GB 14-inch748bit Measure it Best availableFits23.9 GB41kFit-first$2,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
11Mac Studio M4 Max 48GB748bit Measure it Best availableFits23.9 GB41kFit-first$2,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
12MacBook Pro M4 Pro 48GB 16-inch748bit Measure it Best availableFits23.9 GB41kFit-first$2,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
13MacBook Pro M4 Max 48GB 14-inch748bit Measure it Best availableFits23.9 GB41kFit-first$3,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
14MacBook Pro M4 Max 48GB 16-inch748bit Measure it Best availableFits23.9 GB41kFit-first$3,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 23.9 GB headroom remains at this quantization.
15Mac Studio M4 Max 36GB628bit Measure it Best availableFits11.9 GB41kFit-first$1,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 11.9 GB headroom remains at this quantization.
16MacBook Pro M4 Max 36GB 14-inch628bit Measure it Best availableFits11.9 GB41kFit-first$2,9998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 11.9 GB headroom remains at this quantization.
17MacBook Pro M4 Max 36GB 16-inch628bit Measure it Best availableFits11.9 GB41kFit-first$3,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 11.9 GB headroom remains at this quantization.
18Mac Mini M4 32GB588bit Measure it Best availableFits7.9 GB28kFit-first$7998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 7.9 GB headroom remains at this quantization.
19MacBook Air M4 32GB 13-inch588bit Measure it Best availableFits7.9 GB28kFit-first$1,4998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 7.9 GB headroom remains at this quantization.
20MacBook Air M4 32GB 15-inch588bit Measure it Best availableFits7.9 GB28kFit-first$1,6998bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 7.9 GB headroom remains at this quantization.
21Mac Mini M4 24GB48Q6_K Measure it Best availableFits3.9 GB10kFit-first$599Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
22MacBook Air M4 24GB 13-inch48Q6_K Measure it Best availableFits3.9 GB10kFit-first$1,299Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
23Mac Mini M4 Pro 24GB48Q6_K Measure it Best availableFits3.9 GB10kFit-first$1,399Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
24MacBook Air M4 24GB 15-inch48Q6_K Measure it Best availableFits3.9 GB10kFit-first$1,499Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
25MacBook Pro M4 Pro 24GB 14-inch48Q6_K Measure it Best availableFits3.9 GB10kFit-first$1,999Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
26MacBook Pro M4 Pro 24GB 16-inch48Q6_K Measure it Best availableFits3.9 GB10kFit-first$2,499Q6_K is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 3.9 GB headroom remains at this quantization.
27Mac Mini M4 16GB41q4.1bit Measure it Best availableFits2.8 GB11kFit-first$499q4.1bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 2.8 GB headroom remains at this quantization.
28MacBook Air M4 16GB 13-inch41q4.1bit Measure it Best availableFits2.8 GB11kFit-first$1,099q4.1bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 2.8 GB headroom remains at this quantization.
29MacBook Air M4 16GB 15-inch41q4.1bit Measure it Best availableFits2.8 GB11kFit-first$1,299q4.1bit is the current best practical quantization. This Mac fits, but speed still needs direct speed coverage. 2.8 GB headroom remains at this quantization.

Magistral Small — ranking first, catalog record below

Start with the ranked Mac table above. Use the rest of this page to inspect raw Apple Silicon coverage and model metadata.

0Benchmark rows
0Chip tiers covered
Fastest avg tok/s
Minimum RAM observed

Magistral Small is cataloged because Apple Silicon buyers are already searching for it. Magistral Small: 1 practitioner claim; 1 captured from fetched artifacts; hardware mentions: 32GB, Mac, MacBook; runtime mentions: llama.cpp, LM Studio, MLX, Ollama; themes: apple_silicon_viability, fit_and_memory, model_comparison, operational_caution, runtime_tuning. Use the ranking above for the current best Mac path, then open Bench when direct evidence lands.

1 practitioner signal tracked so far, no benchmarks yet.

24BTotal params
DenseActive params
40,960Context window
2025-06-04Release date

No Apple Silicon benchmark rows are published for this model yet.

What this model is, and what Apple Silicon users are actually seeing

Official model cards tell you what the model is for and which software stacks it targets. Field reality below shows how much Apple Silicon evidence we have so far.

Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.

Official source  ·  Raw model card

reasoning

Runtime support mentioned

MLXllama.cppOllamavLLM

Official specs

  • Total parameters: 24B.
  • Context: 128k tokens; recommended max model length 40k tokens.
  • License: Apache 2.0.

Official takeaways

  • Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.
  • Reasoning: Capable of long chains of reasoning traces before providing an answer.
  • We recommend using this model with the vLLM library to implement production-ready inference pipelines.
  • We invite you to choose, depending on your use case and requirements, between keeping reasoning traces during multi-turn interactions or keeping only the final assistant response.

Deployment notes

  • Official model card says Magistral Small can deploy locally and fit within a single RTX 4090 or a 32GB RAM MacBook once quantized.
  • Official model card links community quantized paths for llama.cpp, LM Studio with llama.cpp or MLX, Ollama, and Unsloth.

Apple Silicon note: Official model card says Magistral Small can deploy locally and fit within a single RTX 4090 or a 32GB RAM MacBook once quantized.

Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.

Magistral Small: 1 practitioner claim; 1 captured from fetched artifacts; hardware mentions: 32GB, Mac, MacBook; runtime mentions: llama.cpp, LM Studio, MLX, Ollama; themes: apple_silicon_viability, fit_and_memory, model_comparison, operational_caution, runtime_tuning.

0Benchmark rows
0Field reports
1Practitioner signals
No BenchmarksEvidence status

What practitioners keep saying

  • The official model card says the model fits on a 32GB RAM MacBook when quantized.
  • Mistral also warns that quality can degrade past roughly 40k context, which should remain attached to any Apple-Silicon recommendation.
  • The May 5 Hugging Face API refresh found LM Studio and mlx-community MLX conversion cards, including a 4-bit LM Studio card optimized for Apple Silicon, but no card included Mac throughput or memory measurements.

Apple Silicon field sources

  • Mistralai Hugging Face model cards

    2025-06-10 · 32GB RAM MacBook · vLLM / llama.cpp / LM Studio / Ollama / MLX

    Magistral Small is explicitly positioned as a reasoning-capable local model that can fit a 32GB MacBook once quantized, but the long-context degradation is part of the official framing.

Runtime mentions in the field

llama.cppLM StudioMLXOllama

Hardware mentioned in reports

32GBMacMacBook

What would improve confidence

  • Benchmark Current Apple Silicon Hot Model
  • Collect First Apple Silicon Benchmark
  • Upgrade To First Party Measurement

This page stays published because the model is in the current frontier catalog, but Apple Silicon speed coverage is still missing.

Raw benchmark rows for Magistral Small

Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.

No benchmark rows are published yet for this model. The ranking above still shows the best current Mac fit path, but the benchmark section stays empty until direct Apple Silicon measurements land.

benchmarks.json — full dataset  ·  models.json — model summaries  ·  benchmarks.csv — CSV export

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