Back to leaderboard

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
33 vs 87
Hardware Fit
100 vs 100
Quality Score
4 vs 81

Hardware

microllm-10m:latest qwen3-vl-4b-instruct
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1212
RAM24 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.6.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-10m:latest qwen3-vl-4b-instruct
Tokens/sec1544.871.2
First chunk12 ms10 ms
TTFT12 ms183 ms
Load time0.0 s6.0 s
Memory usage0.0 GB0.3 GB
Memory %0%0%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen3-vl-4b-instruct

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

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-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View microllm-10m:latest details | View qwen3-vl-4b-instruct 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