Back to leaderboard

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
80 vs 77
Hardware Fit
85 vs 100
Quality Score
78 vs 67

Hardware

qwen3:8b mlx-community/meta…
MachineHP HP Z8 G4 WorkstationMac mini
CPUIntel Xeon® Gold 6230Apple M4 Pro
Cores8014
RAM252 GB64 GB
GPUTU104GL [Quadro RTX 5000]Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3:8b mlx-community/meta…
Tokens/sec65.154.3
First chunk289 ms277 ms
TTFT4.2 s277 ms
Load time4.6 sN/A
Memory usage5.6 GB4.2 GB
Memory %2%7%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

mlx-community/meta-llam…

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

Quality

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3:8b details | View mlx-community/meta… 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