qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
60 vs 69
Hardware Fit
96 vs 51
Quality Score
44 vs 76
Hardware
qwen3.5-0.8b-mlx qwen2-57b:57B
MachineMacBook AirHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M4Intel Core™ i7-14700F
Cores1028
RAM32 GB64 GB
GPUApple M4NVIDIA GeForce RTX 5080
OSmacOS 26.3Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx qwen2-57b:57B
Tokens/sec108.07.7
First chunk2568 ms940 ms
TTFT2.6 s940 ms
Load timeN/A0.2 s
Memory usage1.0 GB33.3 GB
Memory %3%52%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
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
qwen2-57b:57B
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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