qwen/qwen3.6-35b-a3b

qwen3_5_moe · 35B · 6bit

MacBook Pro (Apple M5 Max)

64 GB · macOS 27.0

Tested on July 17, 2026 · Submitted by itxjobe

Top 16% Compare

Global Score

87 /100

Excellent

Hardware Fit

90/100

Quality

86/100

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Hardware

Machine: MacBook Pro
CPU: Apple M5 Max
Cores: 18 threads (6 cores)
Frequency: 2.4 GHz
RAM: 64 GB LPDDR5
GPU: Apple M5 Max
OS: macOS 27.0
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 86.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 9 ms
Time to first token How fast the model starts responding — lower is better: 175 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 37.9 GB (59%)
Total tokens Total number of tokens generated across all benchmark prompts: 1272

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

20/30

Quality

Reasoning

16/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

12/15

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
Model format: MLX
Hardware profile: HIGH-END
Result hash: e0f1b4176142ba0a5d0db1d76f9ec07a4251bfbe5d2f1ccafac8558066ae74e4

Interpretation

Hardware fit: 90/100. Overall suitability: EXCELLENT (Global 87/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, 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 22% (peak 25%)

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