gemma-4-31b-it-mlx
LM-STUDIO MLXgemma4 · 31B · 8bit
Aug 19, 2026 · Apple M4 Max
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 2, 2026 · Apple M4
Global Score
85 vs 65
Hardware Fit
64 vs 99
Quality Score
94 vs 51
Hardware
gemma-4-31b-it-mlx qwen3.5:0.8b
MachineMacBook ProMacBook Air
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB32 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma-4-31b-it-mlx qwen3.5:0.8b
Tokens/sec13.648.2
First chunk16 msN/A
TTFT558 ms195 ms
Load time12.3 s1.0 s
Memory usage0.0 GB2.5 GB
Memory %0%8%
HW Fit Score Breakdown
gemma-4-31b-it-mlx
Speed
14/50
TTFT
20/20
Memory
30/30
qwen3.5:0.8b
Speed
40/50
TTFT
30/20
Memory
29/30
Quality
gemma-4-31b-it-mlx
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5:0.8b
Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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