qwen3.5-0.8b
LM-STUDIO GGUFqwen35 · 0.8B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
qwen3-vl-4b-instruct-q4_k_m.gguf
OPENAI GGUFApr 21, 2026 · Apple M2 Max
Global Score
48 vs 62
Hardware Fit
61 vs 100
Quality Score
42 vs 46
Hardware
qwen3.5-0.8b qwen3-vl-4b-instru…
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b qwen3-vl-4b-instru…
Tokens/sec6.267.8
First chunk4461 ms62 ms
TTFT4.5 s64 ms
Load timeN/A0.0 s
Memory usage0.7 GB0.0 GB
Memory %4%0%
HW Fit Score Breakdown
qwen3.5-0.8b
Speed
22/50
TTFT
12/20
Memory
27/30
qwen3-vl-4b-instruct-q4…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b
Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
qwen3-vl-4b-instruct-q4…
Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor 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