Back to leaderboard

qwen/qwen3.6-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Oct 22, 2026 · Apple M1 Pro

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
80 vs 80
Hardware Fit
56 vs 95
Quality Score
90 vs 73

Hardware

qwen/qwen3.6-27b lfm2.5:8b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 15.6.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.6-27b lfm2.5:8b
Tokens/sec10.898.5
First chunk16 ms167 ms
TTFT2.6 s2.5 s
Load timeN/A3.0 s
Memory usage21.0 GB6.0 GB
Memory %66%37%

HW Fit Score Breakdown

qwen/qwen3.6-27b

Speed
23/50
TTFT
16/20
Memory
17/30

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

Quality

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3.6-27b details | View lfm2.5:8b 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