qwen3-4b-qwen3.6-plus-reasoning-distilled

qwen3 · 4B · Q4_1

THINKING MODEL

Mac Studio (Apple M2 Max)

96 GB · macOS 26.1

Tested on April 21, 2026 · Submitted by Frank

Top 60% Compare

Global Score

65 /100

Good

Hardware Fit

96/100

Quality

51/100

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Hardware

Machine: Mac Studio
CPU: Apple M2 Max
Cores: 12 total (8 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 96 GB LPDDR5
GPU: Apple M2 Max
OS: macOS 26.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 99.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 18 ms
Time to first token How fast the model starts responding — lower is better: 1.6 s
Load time Time to load the model into memory before inference: 4.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.3 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1739
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~812

Score breakdown

Speed

50/50

Time to first token

16/20

Memory

30/30

Quality

Reasoning

8/20

Coding

4/20

Instruction following

14/20

Structured output

9/15

Math

8/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.10+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 1c0d2c267d875cb5bd3f6fc73dde96a2a038d31bd12e882d6c1b34c085b22c0d

Interpretation

Hardware fit: 96/100. Overall suitability: GOOD (Global 65/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Adequate, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 5% (peak 7%)

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