qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
smollm2-1.7b-instruct
LM-STUDIO GGUFllama · 1.7B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
89 vs 48
Hardware Fit
95 vs 63
Quality Score
87 vs 41
Hardware
qwen/qwen3-8b smollm2-1.7b-instr…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen/qwen3-8b smollm2-1.7b-instr…
Tokens/sec33.46.6
First chunk257 ms3184 ms
TTFT257 ms3.2 s
Load timeN/AN/A
Memory usage4.3 GB1.0 GB
Memory %7%6%
HW Fit Score Breakdown
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
smollm2-1.7b-instruct
Speed
23/50
TTFT
15/20
Memory
25/30
Quality
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
smollm2-1.7b-instruct
Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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