Back to leaderboard

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
46 vs 83
Hardware Fit
61 vs 96
Quality Score
40 vs 78

Hardware

llama3.1:8b qwen3-vl:4b-instruct
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMac Studio
CPUCortex-A78AEApple M2 Max
Cores612
RAM7 GB96 GB
GPUIntegrated / UnknownApple M2 Max
OSUbuntu 22.04.5 LTSmacOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b qwen3-vl:4b-instruct
Tokens/sec7.890.6
First chunk1625 ms159 ms
TTFT1.6 s159 ms
Load time21.8 s5.8 s
Memory usage5.2 GB42.5 GB
Memory %71%44%

HW Fit Score Breakdown

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View llama3.1:8b 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