qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
unsloth/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
60 vs 85
Hardware Fit
96 vs 65
Quality Score
44 vs 93
Hardware
qwen3.5-0.8b-mlx unsloth/gemma-4-26…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-0.8b-mlx unsloth/gemma-4-26…
Tokens/sec108.011.9
First chunk2568 ms17 ms
TTFT2.6 s3.3 s
Load timeN/A69.8 s
Memory usage1.0 GB0.5 GB
Memory %3%3%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
unsloth/gemma-4-26b-a4b…
Speed
22/50
TTFT
13/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
unsloth/gemma-4-26b-a4b…
Reasoning
19/20
Coding
19/20
Instruction
19/20
Structured
14/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest