qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Feb 28, 2026 · Apple M4 Pro

Global Score

48 vs 73

Hardware Fit

61 vs 100

Quality Score

42 vs 61

Hardware

qwen3.5-0.8b llama3.2:latest

MachineLENOVO 20BUS00700Mac Mini

CPUIntel Core™ i5-5300UApple M4 Pro

Cores414

RAM16 GB64 GB

GPUIntel(R) HD Graphics 5500Apple M4 Pro

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4

Archx64arm64

Power Modebalancedunknown

Performance

qwen3.5-0.8b llama3.2:latest

Tokens/sec6.298.9

First chunk4461 msN/A

TTFT4.5 s125 ms

Load timeN/A2.3 s

Memory usage0.7 GB22.1 GB

Memory %4%35%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed

22/50

TTFT

12/20

Memory

27/30

llama3.2:latest

Speed

40/50

TTFT

30/20

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

llama3.2:latest

Reasoning

11/20

Coding

14/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View qwen3.5-0.8b details | View llama3.2:latest 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