Back to leaderboard

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Good

Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
76 vs 85
Hardware Fit
58 vs 64
Quality Score
84 vs 94

Hardware

qwen3:14b gemma-4-31b-it-mlx
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HApple M4 Max
Cores2016
RAM32 GB128 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:14b gemma-4-31b-it-mlx
Tokens/sec5.613.6
First chunk841 ms16 ms
TTFT841 ms558 ms
Load time16.9 s12.3 s
Memory usage10.1 GB0.0 GB
Memory %32%0%

HW Fit Score Breakdown

qwen3:14b

Speed
8/50
TTFT
20/20
Memory
30/30

gemma-4-31b-it-mlx

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

Quality

qwen3:14b

Reasoning
17/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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
View qwen3:14b details | View gemma-4-31b-it-mlx 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