Back to leaderboard

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

granite3.1-dense:8b

OLLAMA GGUF

granite · 8.2B · Q4_K_M

Good

Mar 1, 2026 · Apple M4

Global Score
89 vs 74
Hardware Fit
95 vs 91
Quality Score
87 vs 66

Hardware

qwen/qwen3-8b granite3.1-dense:8b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b granite3.1-dense:8b
Tokens/sec33.418.8
First chunk257 msN/A
TTFT257 ms308 ms
Load timeN/A0.6 s
Memory usage4.3 GB13.0 GB
Memory %7%41%

HW Fit Score Breakdown

qwen/qwen3-8b

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

granite3.1-dense:8b

Speed
31/50
TTFT
30/20
Memory
30/30

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

granite3.1-dense:8b

Reasoning
12/20
Coding
11/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen/qwen3-8b details | View granite3.1-dense: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