Back to leaderboard

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

qwen3-vl-4b-instruct-q4_k_m.gguf

OPENAI GGUF
Good

Apr 21, 2026 · Apple M2 Max

Global Score
81 vs 62
Hardware Fit
100 vs 100
Quality Score
73 vs 46

Hardware

llama-3.1-8b-instr… qwen3-vl-4b-instru…
MachineASUSMac Studio
CPUAMD Ryzen 5 5500Apple M2 Max
Cores1212
RAM31 GB96 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M2 Max
OSNobara Linux 43macOS 26.1
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… qwen3-vl-4b-instru…
Tokens/sec35.667.8
First chunk52 ms62 ms
TTFT256 ms64 ms
Load timeN/A0.0 s
Memory usage8.6 GB0.0 GB
Memory %28%0%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

qwen3-vl-4b-instruct-q4…

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

Quality

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3-vl-4b-instruct-q4…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong

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