mistral:7b
OLLAMA GGUFllama · 7.2B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen2.5-math-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 4bit
Mar 4, 2026 · Apple M4
Global Score
70 vs 45
Hardware Fit
94 vs 99
Quality Score
60 vs 22
Hardware
mistral:7b qwen2.5-math-1.5b-…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b qwen2.5-math-1.5b-…
Tokens/sec22.591.7
First chunk252 ms205 ms
TTFT252 ms205 ms
Load time0.7 sN/A
Memory usage10.1 GB0.8 GB
Memory %32%3%
HW Fit Score Breakdown
mistral:7b
Speed
44/50
TTFT
20/20
Memory
30/30
qwen2.5-math-1.5b-instr…
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen2.5-math-1.5b-instr…
Reasoning
2/20
Coding
0/20
Instruction
3/20
Structured
1/15
Math
14/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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