qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
deepseek-r1:1.5b
OLLAMA GGUFqwen2 · 1.8B · Q4_K_M
Apr 29, 2026 · Intel Core™ i5-8350U
Global Score
53 vs 37
Hardware Fit
89 vs 73
Quality Score
38 vs 22
Hardware
qwen3.5-0.8b-mlx deepseek-r1:1.5b
MachineMac miniLENOVO 20L7CTO1WW
CPUApple M4 ProIntel Core™ i5-8350U
Cores148
RAM64 GB23 GB
GPUApple M4 ProKaby Lake-R GT2 [UHD Graphics 620]
OSmacOS 15.7.4Fedora Linux 43
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.5-0.8b-mlx deepseek-r1:1.5b
Tokens/sec52.918.4
First chunk4013 ms593 ms
TTFT4.0 s30.0 s
Load timeN/A3.8 s
Memory usage0.6 GB1.0 GB
Memory %1%4%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
deepseek-r1:1.5b
Speed
43/50
TTFT
0/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
deepseek-r1:1.5b
Reasoning
4/20
Coding
0/20
Instruction
5/20
Structured
3/15
Math
7/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak 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