Back to leaderboard

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

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
83 vs 59
Hardware Fit
100 vs 63
Quality Score
76 vs 58

Hardware

qwen3-5-4b-q4-k-m qwen3.8-27b-mlx
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M5 Max
Cores1218
RAM32 GB64 GB
GPUAMD Radeon RX 6700 XTApple M5 Max
OSmacOS 26.5.1macOS 27.0
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m qwen3.8-27b-mlx
Tokens/sec62.718.3
First chunk278 ms4 ms
TTFT278 ms530 ms
Load time0.0 sN/A
Memory usage0.0 GB38.5 GB
Memory %0%60%

HW Fit Score Breakdown

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

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

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

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

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View qwen3-5-4b-q4-k-m details | View qwen3.8-27b-mlx 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