qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

48 vs 75

Hardware Fit

61 vs 54

Quality Score

42 vs 84

Hardware

qwen3.5-0.8b qwen3.5-27b

MachineLENOVO 20BUS00700MacBook Air

CPUIntel Core™ i5-5300UApple M4

Cores410

RAM16 GB32 GB

GPUIntel(R) HD Graphics 5500Apple M4

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5-0.8b qwen3.5-27b

Tokens/sec6.26.6

First chunk4461 ms4364 ms

TTFT4.5 s4.4 s

Load timeN/AN/A

Memory usage0.7 GB15.0 GB

Memory %4%47%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed

22/50

TTFT

12/20

Memory

27/30

qwen3.5-27b

Speed

13/50

TTFT

11/20

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

qwen3.5-27b

Reasoning

17/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View qwen3.5-0.8b details | View qwen3.5-27b 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