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gemma-3-270m-it-qat-mlx

LM-STUDIO MLX

gemma3_text · 270M · 4bit

Marginal

Mar 4, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
43 vs 81
Hardware Fit
99 vs 95
Quality Score
19 vs 75

Hardware

gemma-3-270m-it-qa… qwen3:8b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

gemma-3-270m-it-qa… qwen3:8b
Tokens/sec344.2108.3
First chunk173 ms169 ms
TTFT173 ms169 ms
Load timeN/A1.7 s
Memory usage0.3 GB5.6 GB
Memory %1%18%

HW Fit Score Breakdown

gemma-3-270m-it-qat-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

gemma-3-270m-it-qat-mlx

Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-3-270m-it-qa… details | View qwen3:8b 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