qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex

qwen35moe · 35B

MacBook Pro (Apple M5 Max)

64 GB · macOS 27.0

Tested on July 17, 2026 · Submitted by itxjobe

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Global Score

90 /100

Excellent

Hardware Fit

98/100

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: 86.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 13 ms
Time to first token How fast the model starts responding — lower is better: 143 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: 23.9 GB (37%)
Total tokens Total number of tokens generated across all benchmark prompts: 1349

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

28/30

Quality

Reasoning

18/20

Coding

17/20

Instruction following

14/20

Structured output

15/15

Math

12/15

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
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 4bf63c927e7d70531b989720954f4b820156d5264c78f835334ed778a2408665

Interpretation

Hardware fit: 98/100. Overall suitability: EXCELLENT (Global 90/100). 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 12% (peak 15%)

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