Back to leaderboard

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ Ultra X7 358H

Global Score
89 vs 67
Hardware Fit
95 vs 51
Quality Score
87 vs 74

Hardware

qwen/qwen3-8b qwen2-57b:57B
MachineMac miniGMKtec NucBox EVO-T2S
CPUApple M4 ProIntel Core™ Ultra X7 358H
Cores1416
RAM64 GB64 GB
GPUApple M4 ProIntel(R) Arc(TM) B390 GPU
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b qwen2-57b:57B
Tokens/sec33.48.6
First chunk257 ms1573 ms
TTFT257 ms1.6 s
Load timeN/A29.0 s
Memory usage4.3 GB32.8 GB
Memory %7%52%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

qwen2-57b:57B

Speed
10/50
TTFT
17/20
Memory
24/30

Quality

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen2-57b:57B

Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen/qwen3-8b details | View qwen2-57b:57B 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