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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
53 vs 76
Hardware Fit
89 vs 82
Quality Score
38 vs 73

Hardware

qwen3.5-0.8b-mlx gemma4:e2b
MachineMac miniLENOVO 20U30029MB
CPUApple M4 ProIntel Core™ i5-10210U
Cores148
RAM64 GB15 GB
GPUApple M4 ProCometLake-U GT2 [UHD Graphics]
OSmacOS 15.7.4Pop 24.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.5-0.8b-mlx gemma4:e2b
Tokens/sec52.913.5
First chunk4013 ms1270 ms
TTFT4.0 s1.3 s
Load timeN/A13.4 s
Memory usage0.6 GB6.5 GB
Memory %1%42%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

gemma4:e2b

Speed
35/50
TTFT
20/20
Memory
27/30

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

gemma4:e2b

Reasoning
10/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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