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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
72 vs 72
Hardware Fit
77 vs 89
Quality Score
70 vs 64

Hardware

llama3.1:8b qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M1 ProIntel Xeon® Gold 6230
Cores1080
RAM16 GB252 GB
GPUApple M1 ProTU104GL [Quadro RTX 5000]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

llama3.1:8b qwen3-vl:8b
Tokens/sec21.568.2
First chunk368 ms285 ms
TTFT368 ms2.0 s
Load time6.9 s42.4 s
Memory usage12.9 GB7.1 GB
Memory %81%3%

HW Fit Score Breakdown

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

qwen3-vl:8b

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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 llama3.1:8b 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