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hf.co/openbmb/MiniCPM5-1B-GGUF:F16

OLLAMA GGUF

llama · 1.08B · F16

Good

Aug 25, 2026 · Apple M1 Pro

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
71 vs 83
Hardware Fit
100 vs 68
Quality Score
58 vs 90

Hardware

hf.co/openbmb/Mini… qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M1 ProApple M4 Max
OSmacOS 26.6.2macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/openbmb/Mini… qwen/qwen3.8-27b
Tokens/sec88.127.6
First chunk38 ms10 ms
TTFT38 ms4.6 s
Load time1.6 sN/A
Memory usage3.9 GB21.0 GB
Memory %25%16%

HW Fit Score Breakdown

hf.co/openbmb/MiniCPM5-…

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

qwen/qwen3.8-27b

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

Quality

hf.co/openbmb/MiniCPM5-…

Reasoning
12/20
Coding
10/20
Instruction
15/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

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 hf.co/openbmb/Mini… 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