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

qwen35moe · 35B

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 19, 2026 · Submitted by Jujube

Top 6% Compare

Global Score

90 /100

Excellent

Hardware Fit

100/100

Quality

86/100

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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: 78.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 7 ms
Time to first token How fast the model starts responding — lower is better: 138 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 (19%)
Total tokens Total number of tokens generated across all benchmark prompts: 1349

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

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 0.4.12+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 93d1e6c38f326b252f66824199676644260d45011096056f43dcb15a82c7af5f

Interpretation

Hardware fit: 100/100. 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 9% (peak 12%)

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