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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
53 vs 61
Hardware Fit
89 vs 85
Quality Score
38 vs 51

Hardware

qwen3.5-0.8b-mlx qwen3:0.6b
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 qwen3:0.6b
Tokens/sec52.927.0
First chunk4013 ms597 ms
TTFT4.0 s8.7 s
Load timeN/A1.8 s
Memory usage0.6 GB0.9 GB
Memory %1%4%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

qwen3:0.6b

Speed
50/50
TTFT
5/20
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

qwen3:0.6b

Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Adequate
View qwen3.5-0.8b-mlx details | View qwen3:0.6b details

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