qwen2.5-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
deepseek-r1:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
69 vs 77
Hardware Fit
100 vs 94
Quality Score
56 vs 70
Hardware
qwen2.5-1.5b-instr… deepseek-r1:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-1.5b-instr… deepseek-r1:7b
Tokens/sec58.122.2
First chunk211 ms285 ms
TTFT211 ms285 ms
Load timeN/A0.8 s
Memory usage1.5 GB7.6 GB
Memory %5%24%
HW Fit Score Breakdown
qwen2.5-1.5b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
deepseek-r1:7b
Speed
44/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
deepseek-r1:7b
Reasoning
14/20
Coding
12/20
Instruction
10/20
Structured
12/15
Math
15/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong 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