mistralai/magistral-small-2509
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 2, 2026 · Apple M4
Global Score
74 vs 65
Hardware Fit
66 vs 99
Quality Score
78 vs 51
Hardware
mistralai/magistra… qwen3.5:0.8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistralai/magistra… qwen3.5:0.8b
Tokens/sec7.948.2
First chunk1356 msN/A
TTFT1.4 s195 ms
Load timeN/A1.0 s
Memory usage13.2 GB2.5 GB
Memory %41%8%
HW Fit Score Breakdown
mistralai/magistral-sma…
Speed
16/50
TTFT
20/20
Memory
30/30
qwen3.5:0.8b
Speed
40/50
TTFT
30/20
Memory
29/30
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
qwen3.5:0.8b
Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest