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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest