Back to leaderboard

aya-expanse:8b

OLLAMA GGUF

command-r · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
72 vs 83
Hardware Fit
89 vs 68
Quality Score
65 vs 90

Hardware

aya-expanse:8b qwen/qwen3.8-27b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

aya-expanse:8b qwen/qwen3.8-27b
Tokens/sec19.727.6
First chunk350 ms10 ms
TTFT350 ms4.6 s
Load time0.9 sN/A
Memory usage6.2 GB21.0 GB
Memory %20%16%

HW Fit Score Breakdown

aya-expanse:8b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

aya-expanse:8b

Reasoning
10/20
Coding
13/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3.8-27b

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