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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
18 vs 83
Hardware Fit
53 vs 68
Quality Score
3 vs 90

Hardware

qwen3.5:0.8b qwen/qwen3.8-27b
MachineLENOVO 20L7CTO1WWMacBook Pro
CPUIntel Core™ i5-8350UApple M4 Max
Cores816
RAM23 GB128 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Max
OSFedora Linux 43macOS 26.5.2
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b qwen/qwen3.8-27b
Tokens/sec9.427.6
First chunk799 ms10 ms
TTFT30.0 s4.6 s
Load time3.3 sN/A
Memory usage1.9 GB21.0 GB
Memory %8%16%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
Memory
30/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

qwen3.5:0.8b

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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:0.8b details | View qwen/qwen3.8-27b 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