qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

18 vs 74

Hardware Fit

53 vs 66

Quality Score

3 vs 78

Hardware

qwen3.5:0.8b mistralai/magistra…

MachineLENOVO 20L7CTO1WWMacBook Air

CPUIntel Core™ i5-8350UApple M4

Cores810

RAM23 GB32 GB

GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4

OSFedora Linux 43macOS 26.3

Archx64arm64

Power Modelow-powerbalanced

Performance

qwen3.5:0.8b mistralai/magistra…

Tokens/sec9.47.9

First chunk799 ms1356 ms

TTFT30.0 s1.4 s

Load time3.3 sN/A

Memory usage1.9 GB13.2 GB

Memory %8%41%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed

23/50

TTFT

0/20

Memory

30/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View qwen3.5:0.8b details | View mistralai/magistra… 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