mlx-community/Nanbeige4.1-3B-8bit
THINKING MODEL
MacBook Air (Apple M4)
32 GB · macOS 26.3
Tested on March 5, 2026
Global Score
53 /100
Marginal
Hardware Fit
99/100
Quality
33/100
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Hardware
- Machine
- MacBook Air
- CPU
- Apple M4
- Cores
- 10 total (4 perf + 6 eff)
- Frequency
- 2.4 GHz
- RAM
- 32 GB LPDDR5
- GPU
- Apple M4
- OS
- macOS 26.3
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 25.4
- Standard deviation
- ±0.2
- First chunk latency
- 266 ms
- Time to first token
- 266 ms
- Load time
- N/A
- Memory usage
- 0.0 GB (0%)
- Total tokens
- 1530
Score breakdown
Speed
49/50
Time to first token
20/20
Memory
30/30
Quality
Reasoning
10/20
Coding
7/20
Instruction following
1/20
Structured output
1/15
Math
11/15
Multilingual
3/10
Category levels
Reasoning: Adequate Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Weak
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.6+1
- Model format
- GGUF
- Hardware profile
- BALANCED
- Result hash
- 602208c0e3e08998b36de8024396d24d8e7b61b4d0fee75956d842440f611934
Interpretation
Hardware fit: 99/100. Overall suitability: MARGINAL (Global 53/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Poor, Structured Output: Poor, Math: Adequate, Multilingual: Weak.
Bench Environment
Power: AC CPU load: avg 13% (peak 14%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest