qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

65 vs 59

Hardware Fit

96 vs 97

Quality Score

51 vs 43

Hardware

qwen3-4b-qwen3.6-p… vicuna:7b

MachineMac StudioMacBook Air

CPUApple M2 MaxApple M4

Cores1210

RAM96 GB32 GB

GPUApple M2 MaxApple M4

OSmacOS 26.1macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3-4b-qwen3.6-p… vicuna:7b

Tokens/sec99.623.4

First chunk18 msN/A

TTFT1.6 s242 ms

Load time4.8 s0.4 s

Memory usage0.3 GB5.8 GB

Memory %0%18%

HW Fit Score Breakdown

qwen3-4b-qwen3.6-plus-r…

Speed

50/50

TTFT

16/20

Memory

30/30

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

Quality

qwen3-4b-qwen3.6-plus-r…

Reasoning

8/20

Coding

4/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

8/10

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

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

View qwen3-4b-qwen3.6-p… details | View vicuna:7b details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest