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qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
83 vs 83
Hardware Fit
100 vs 68
Quality Score
76 vs 90

Hardware

qwen3-5-4b-q4-k-m qwen/qwen3.8-27b
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M4 Max
Cores1216
RAM32 GB128 GB
GPUAMD Radeon RX 6700 XTApple M4 Max
OSmacOS 26.5.1macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m qwen/qwen3.8-27b
Tokens/sec62.727.6
First chunk278 ms10 ms
TTFT278 ms4.6 s
Load time0.0 sN/A
Memory usage0.0 GB21.0 GB
Memory %0%16%

HW Fit Score Breakdown

qwen3-5-4b-q4-k-m

Speed
50/50
TTFT
20/20
Memory
30/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-5-4b-q4-k-m details | View qwen/qwen3.8-27b 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