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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen/qwen3.6-35b-a3b

LM-STUDIO MLX

qwen3_5_moe · 35B · 4bit

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score
85 vs 89
Hardware Fit
95 vs 97
Quality Score
81 vs 86

Hardware

gemma4:e4b-mlx qwen/qwen3.6-35b-a3b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M2 ProApple M5 Max
OSmacOS 26.5macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen/qwen3.6-35b-a3b
Tokens/sec47.3130.2
First chunk258 ms5 ms
TTFT258 ms135 ms
Load time5.1 sN/A
Memory usage7.9 GB26.6 GB
Memory %49%42%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

qwen/qwen3.6-35b-a3b

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

Quality

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3.6-35b-a3b

Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:e4b-mlx details | View qwen/qwen3.6-35b-a3b 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