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microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
33 vs 72
Hardware Fit
100 vs 89
Quality Score
4 vs 64

Hardware

microllm-10m:latest qwen3-vl:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4 ProIntel Xeon® Gold 6230
Cores1280
RAM24 GB252 GB
GPUApple M4 ProTU104GL [Quadro RTX 5000]
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

microllm-10m:latest qwen3-vl:8b
Tokens/sec1544.868.2
First chunk12 ms285 ms
TTFT12 ms2.0 s
Load time0.0 s42.4 s
Memory usage0.0 GB7.1 GB
Memory %0%3%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen3-vl:8b

Speed
50/50
TTFT
9/20
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:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View microllm-10m:latest details | View qwen3-vl: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