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unsloth/gemma-4-26b-a4b-it

LM-STUDIO GGUF

gemma4 · 26B · Q3_K_M

Excellent

Apr 5, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
84 vs 53
Hardware Fit
64 vs 89
Quality Score
92 vs 38

Hardware

unsloth/gemma-4-26… qwen3.5-0.8b-mlx
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

unsloth/gemma-4-26… qwen3.5-0.8b-mlx
Tokens/sec16.552.9
First chunk32 ms4013 ms
TTFT2.2 s4.0 s
Load timeN/AN/A
Memory usage19.3 GB0.6 GB
Memory %80%1%

HW Fit Score Breakdown

unsloth/gemma-4-26b-a4b…

Speed
36/50
TTFT
18/20
Memory
10/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

unsloth/gemma-4-26b-a4b…

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View unsloth/gemma-4-26… details | View qwen3.5-0.8b-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