qwen/qwen3.8-27b

qwen3_5 · 27B · 8bit

THINKING MODEL

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 19, 2026 · Submitted by Jujube
Top 39% Compare
Global Score
80 /100
Excellent
Hardware Fit
52/100
Quality
92/100

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Hardware

Machine
MacBook Pro
CPU
Apple M4 Max
Cores
16 total (12 perf + 4 eff)
Frequency
2.4 GHz
RAM
128 GB LPDDR5
GPU
Apple M4 Max
OS
macOS 26.5.2
Arch
arm64
Power Mode
balanced

Performance

Tokens/sec
16.1
Standard deviation
±0.3
First chunk latency
14 ms
Time to first token
5.8 s
Load time
8.5 s
Memory usage
0.0 GB (0%)
Total tokens
1300
Thinking tokens (est.)
~508

Score breakdown

Speed
17/50
Time to first token
5/20
Memory
30/30

Quality

Reasoning
19/20
Coding
16/20
Instruction following
17/20
Structured output
15/15
Math
15/15
Multilingual
10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.12+1
Model format
MLX
Hardware profile
HIGH-END
Result hash
b6d987d095f3d9ca5d1580206cf122c86f7f772a09ed68bb887c9e9c449c6816

Interpretation

Hardware fit: 52/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 12% (peak 14%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest