qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
qwen3.6-35b-a3b-mtp
LM-STUDIO GGUFqwen35moe · 35B · IQ3_XXS
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
60 vs 77
Hardware Fit
96 vs 55
Quality Score
44 vs 86
Hardware
qwen3.5-0.8b-mlx qwen3.6-35b-a3b-mtp
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 qwen3.6-35b-a3b-mtp
Tokens/sec108.09.2
First chunk2568 ms38 ms
TTFT2.6 s4.7 s
Load timeN/A46.7 s
Memory usage1.0 GB0.0 GB
Memory %3%0%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
qwen3.6-35b-a3b-mtp
Speed
16/50
TTFT
9/20
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
qwen3.6-35b-a3b-mtp
Reasoning
16/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
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