qwen/qwen3.8-27b

qwen3_5 · 27B · 4bit

THINKING MODEL

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 19, 2026 · Submitted by Jujube

Top 26% Compare

Global Score

84 /100

Excellent

Hardware Fit

69/100

Quality

90/100

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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 Tokens generated per second — higher is better: 28.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 33 ms
Time to first token How fast the model starts responding — lower is better: 4.4 s
Load time Time to load the model into memory before inference: 7.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.0 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1431
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~501

Score breakdown

Speed

33/50

Time to first token

6/20

Memory

30/30

Quality

Reasoning

19/20

Coding

15/20

Instruction following

16/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Adequate 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: 1baa4f3cbab7d93073ecd815db4a171b1fbe70953f630a0ec8ba76b97c6a1287

Interpretation

Hardware fit: 69/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 12% (peak 16%)

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