qwen3.8-27b-claude-opus-reasoning-distilled

qwen35 · 27B · Q4_K_M

THINKING MODEL

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 20, 2026 · Submitted by Jujube
Top 39% Compare
Global Score
80 /100
Excellent
Hardware Fit
63/100
Quality
87/100

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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
24.0
Standard deviation
±1.8
First chunk latency
20 ms
Time to first token
4.5 s
Load time
N/A
Memory usage
15.7 GB (12%)
Total tokens
1553
Thinking tokens (est.)
~491

Score breakdown

Speed
27/50
Time to first token
6/20
Memory
30/30

Quality

Reasoning
19/20
Coding
18/20
Instruction following
11/20
Structured output
15/15
Math
14/15
Multilingual
10/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.12+1
Model format
GGUF
Hardware profile
HIGH-END
Result hash
4df413c984e474ba2ac87a15a8f593ee44298c5f7188b104b579c49cd20bec19

Interpretation

Hardware fit: 63/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

  • Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

Power: AC CPU load: avg 9% (peak 10%)

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