qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
mistralai/devstral-small-2-2512
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
Global Score
36 vs 69
Hardware Fit
100 vs 50
Quality Score
8 vs 77
Hardware
qwen36-distill-apex mistralai/devstral…
MachineMacBook ProMacBook Air
CPUApple M5 MaxApple M4
Cores1810
RAM64 GB32 GB
GPUApple M5 MaxApple M4
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex mistralai/devstral…
Tokens/sec55.25.7
First chunk210 ms5007 ms
TTFT210 ms5.0 s
Load time4.8 sN/A
Memory usage0.9 GB13.2 GB
Memory %2%41%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
mistralai/devstral-smal…
Speed
11/50
TTFT
9/20
Memory
30/30
Quality
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
mistralai/devstral-smal…
Reasoning
16/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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