Back to leaderboard

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
85 vs 73
Hardware Fit
64 vs 100
Quality Score
94 vs 62

Hardware

gemma-4-31b-it-mlx qwen3.5:2b
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 qwen3.5:2b
Tokens/sec13.630.4
First chunk16 msN/A
TTFT558 ms215 ms
Load time12.3 s1.8 s
Memory usage0.0 GB4.5 GB
Memory %0%14%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

Speed
14/50
TTFT
20/20
Memory
30/30

qwen3.5:2b

Speed
40/50
TTFT
30/20
Memory
30/30

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

qwen3.5:2b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-4-31b-it-mlx details | View qwen3.5:2b 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