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google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

qwen2.5vl:7b

OLLAMA GGUF

qwen25vl · 8.3B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
71 vs 83
Hardware Fit
35 vs 100
Quality Score
86 vs 75

Hardware

google/gemma-3-27b qwen2.5vl:7b
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

google/gemma-3-27b qwen2.5vl:7b
Tokens/sec5.973.9
First chunk19 ms53 ms
TTFT1.8 s53 ms
Load timeN/A5.3 s
Memory usage22.0 GB5.1 GB
Memory %92%16%

HW Fit Score Breakdown

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

qwen2.5vl:7b

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

Quality

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen2.5vl:7b

Reasoning
16/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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