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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
18 vs 87
Hardware Fit
53 vs 100
Quality Score
3 vs 81

Hardware

qwen3.5:0.8b qwen3-vl-4b-instruct
MachineLENOVO 20L7CTO1WWMac Studio
CPUIntel Core™ i5-8350UApple M2 Max
Cores812
RAM23 GB96 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M2 Max
OSFedora Linux 43macOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b qwen3-vl-4b-instruct
Tokens/sec9.472.0
First chunk799 ms7 ms
TTFT30.0 s176 ms
Load time3.3 s6.7 s
Memory usage1.9 GB0.0 GB
Memory %8%0%

HW Fit Score Breakdown

qwen3.5:0.8b

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

qwen3-vl-4b-instruct

Speed
50/50
TTFT
20/20
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

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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