qwen3.6:35b-mlx
OLLAMA GGUFnvfp4
Jul 17, 2026 · Apple M5 Max
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
89 vs 81
Hardware Fit
97 vs 90
Quality Score
86 vs 77
Hardware
qwen3.6:35b-mlx gemma-4-e2b-it-qat
MachineMacBook ProDocker Container
CPUApple M5 MaxIntel Gen Intel® Core™ i9-11900H
Cores1816
RAM48 GB15 GB
GPUApple M5 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.6:35b-mlx gemma-4-e2b-it-qat
Tokens/sec129.422.2
First chunk49 ms67 ms
TTFT49 ms1.1 s
Load time0.0 s5.4 s
Memory usage20.5 GB0.0 GB
Memory %43%0%
HW Fit Score Breakdown
qwen3.6:35b-mlx
Speed
50/50
TTFT
20/20
Memory
27/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
qwen3.6:35b-mlx
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
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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