mistralai/magistral-small-2509
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
74 vs 76
Hardware Fit
66 vs 89
Quality Score
78 vs 71
Hardware
mistralai/magistra… ministral-3:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistralai/magistra… ministral-3:8b
Tokens/sec7.919.5
First chunk1356 ms328 ms
TTFT1.4 s328 ms
Load timeN/A1.5 s
Memory usage13.2 GB10.6 GB
Memory %41%33%
HW Fit Score Breakdown
mistralai/magistral-sma…
Speed
16/50
TTFT
20/20
Memory
30/30
ministral-3:8b
Speed
39/50
TTFT
20/20
Memory
30/30
Quality
mistralai/magistral-sma…
Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest