Back to leaderboard

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
33 vs 59
Hardware Fit
100 vs 63
Quality Score
4 vs 58

Hardware

microllm-10m:latest qwen3.8-27b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M5 Max
Cores1218
RAM24 GB64 GB
GPUApple M4 ProApple M5 Max
OSmacOS 15.6.1macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-10m:latest qwen3.8-27b-mlx
Tokens/sec1544.818.3
First chunk12 ms4 ms
TTFT12 ms530 ms
Load time0.0 sN/A
Memory usage0.0 GB38.5 GB
Memory %0%60%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen3.8-27b-mlx

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

Quality

microllm-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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 microllm-10m:latest 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