🤖 AI Code Battle: Open Source vs Claude Sonnet 4.5

SSD SMART Monitoring Script Showdown

TL;DR: We tested 4 AI models on generating a macOS SSD monitoring script. Results might surprise you! 🔥

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📊 The Challenge

Task: Create a Python script that reads and displays complete SSD SMART data on macOS, including:

• Temperature
• Total Bytes Written (TBW)
• Power On Hours
• Wear Level
• Media Errors
• Full SMART output

Models Tested:

1. 🏆 Claude Sonnet 4.5 (Anthropic) - Premium AI
2. 🥈 Nemotron 3 Nano (NVIDIA) - Open Source
3. 🥉 Qwen3 Coder 30B (Alibaba) - Open Source
4. 🔴 GPT-OSS-20B (Open Source) - Failed completely
5. 🔴 Devstral Small 2 (Mistral AI) - Open Source

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🏆 Results Summary

Rank	Model	Status	Key Features	Score
🥇 1st	Claude Sonnet 4.5	✅ PERFECT	Auto-detect, No sudo needed, Beautiful UI, Smart error handling	10/10
🥈 2nd	Nemotron 3 Nano	✅ SUCCESS	Complete data, Works well, Requires sudo, Fast & Efficient	8.5/10
🥉 3rd	Qwen3 Coder 30B	⚠️ PARTIAL	Functional but poor UX, Hard-coded sudo	6/10
4th	GPT-OSS-20B	❌ FAILED	No SSD detection, Wrong logic, High GPU usage	1/10
5th	Devstral Small 2	❌ FAILED	Wrong device paths, Doesn't understand macOS	2/10

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🔬 Detailed Analysis

🏆 1st Place: Claude Sonnet 4.5 (Premium AI)

Score: 10/10 | View Script

✅ Auto-detects physical SSDs (filters virtual APFS containers)
✅ Intelligent sudo handling (tries without, fallback if needed)
✅ Beautiful formatted output with tables
✅ Extracts all key metrics:
   • Temperature: 28°C
   • TBW: 8,022.20 TB
   • Power On Hours: 251h (10 days)
   • Wear Level: 0%
   • Media Errors: 0
✅ Complete SMART data dump
✅ Proper error handling (handles smartctl exit codes)
✅ Professional code quality

Sample Output:

======================================================================
         SSD SMART REPORT - Complete Diagnostics
======================================================================

┌────────────────────────────────────────────────────────────────────┐
│                         KEY METRICS SUMMARY                        │
├────────────────────────────────────────────────────────────────────┤
│  Critical Warning                                         0x00 (OK) │
│  Temperature                                                  28 °C │
│  Wear Level                                                      0% │
│  TBW (Data Units)                                        8022.20 TB │
│  Power On Hours                                 251 hours (10 days) │
│  Media Errors                                                     0 │
└────────────────────────────────────────────────────────────────────┘

Why it wins: Perfect execution, no sudo needed for the user, beautiful presentation, and enterprise-grade error handling.

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🥈 2nd Place: Nemotron 3 Nano (Open Source)

Score: 8.5/10 | View Script

✅ Auto-detects disk (/dev/disk0)
✅ Shows complete SMART output
✅ All data visible:
   • Temperature: 28 Celsius ✅
   • Data Units Written: 16,429,485 [8.41 TB] ✅
   • Power On Hours: 251 ✅
   • All metrics present ✅
⚠️  Requires user to run with sudo
⚠️  No metric extraction (raw output only)
⚠️  User must read through full output

What it does well:

• Gets the job done! All data is there and correct
• Very close to Claude's functionality
• Clean, readable output
• Reliable detection

What could be better:

• Needs manual sudo (user must remember to type "sudo python3 script.py")
• Doesn't parse metrics into a summary table
• Less polished UI

Verdict: Impressive performance for an open-source model! Shows that open-source AI is catching up fast. With minor improvements, it could match Claude.

⚡ Performance Highlights:

• Generation Speed: Fast (generated script quickly)
• Resource Efficiency: Low GPU usage, Mac stayed cool
• Code Quality: Clean, readable, functional
• Best Open-Source Model: Clear winner among free alternatives

Comparison with GPT-OSS-20B:

Metric	Nemotron 3 Nano	GPT-OSS-20B
Speed	⚡ Fast	🐌 Very Slow
GPU Usage	✅ Low	🔥 High (overheated Mac)
Functionality	✅ Works	❌ Failed
Code Quality	⭐⭐⭐⭐	⭐

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🥉 3rd Place: Qwen3 Coder 30B (Open Source)

Score: 6/10 | View Script

✅ Functional (works with sudo)
✅ Retrieves SMART data
❌ Hard-coded sudo requirement
❌ No fallback mechanism
❌ Poor user experience (blocks without sudo)
❌ Less intelligent permission handling

Verdict: Works but requires significant UX improvements. Not production-ready without modifications.

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🔴 4th Place: GPT-OSS-20B (Open Source)

Score: 1/10 | View Script

❌ Completely fails to detect SSDs
❌ Wrong disk detection logic (looks for 'Whole' instead of 'WholeDisk')
❌ No SSDs detected even with sudo
❌ High GPU usage during generation (overheated Mac)
❌ Slow generation time
❌ Resource inefficient

Error Output:

⚠️  No SSDs detected.

Performance Issues:

• Generation time: Very slow compared to Nemotron
• Resource usage: High GPU load, caused Mac to overheat
• Efficiency: Worst resource-to-quality ratio

Verdict: Complete failure. The model consumed significant resources during generation but produced non-functional code. Wrong API assumptions (uses entry.get('Whole') instead of checking individual disk properties with WholeDisk).

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🔴 5th Place: Devstral Small 2 (Open Source)

Score: 2/10 | View Script

❌ Looks for /dev/nvme0 (wrong path for macOS)
❌ Should use /dev/disk0
❌ No understanding of macOS disk architecture
❌ No auto-detection
❌ Complete failure on macOS

Error Output:

Error: No se encontró un dispositivo NVMe
Prueba manualmente con: sudo smartctl -a /dev/nvme0

Verdict: Fundamental misunderstanding of macOS storage. Would work better on Linux.

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💡 Key Takeaways

🎯 Claude Sonnet 4.5 Advantages:

1. Intelligence: Understands macOS quirks (APFS virtual containers vs physical disks)
2. UX Design: Smart sudo handling, beautiful formatting
3. Error Handling: Handles smartctl's non-zero exit codes correctly
4. Polish: Production-ready code

🚀 Open Source (Nemotron) Wins:

1. Functionality: Gets all the data correctly
2. Reliability: Solid detection and output
3. Efficiency: Fast generation, low resource usage
4. Performance: Didn't overheat the Mac like GPT-OSS-20B
5. Cost: Free vs Claude's premium pricing
6. Gap is closing: 85% of Claude's quality at 0% of the cost

📈 The Open Source Reality:

Nemotron 3 Nano proved that open-source AI can compete with premium models!

Not all open-source models are created equal:

• ✅ Nemotron 3 Nano: Fast, efficient, functional (85% of Claude's quality)
• ❌ GPT-OSS-20B: Slow, resource-hungry, non-functional (worst performer)

The gap between paid and open-source AI is narrowing, but model selection matters. Quality open-source models like Nemotron offer excellent value, while others (GPT-OSS-20B) waste resources with poor results.

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⚡ Performance Comparison

Generation Speed and Efficiency

Model	Speed	GPU Usage	Mac Temperature	Result
Nemotron 3 Nano	⚡⚡⚡ Fast	🟢 Low	❄️ Cool	✅ Functional
Claude Sonnet 4.5	⚡⚡ Normal	🟡 Medium	🌡️ Normal	✅ Perfect
Qwen3 Coder 30B	⚡ Slow	🟡 Medium	🌡️ Normal	⚠️ Works with sudo
GPT-OSS-20B	🐌 Very Slow	🔴 VERY HIGH	🔥 Overheated	❌ Failed
Devstral Small 2	⚡ Normal	🟢 Low	❄️ Cool	❌ Failed

🏆 Efficiency Winner: Nemotron 3 Nano

Why Nemotron is the best open-source model:

1. ⚡ Fastest at generating functional code
2. 🟢 Lowest resource consumption (GPU, CPU)
3. ❄️ Doesn't overheat Mac during generation
4. ✅ Code that works (unlike GPT-OSS-20B)
5. 💰 Free with near-Claude performance

⚠️ Worst Efficiency: GPT-OSS-20B

GPT-OSS-20B Issues:

• 🐌 Extremely slow generation
• 🔥 High GPU usage → Mac overheated
• ❌ Output: non-functional code
• 💸 Waste of resources and time

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🎮 Try It Yourself

Claude Sonnet 4.5 (Recommended):

python3 tbw-claude-sonnet-4.5.py

Nemotron 3 Nano (Great open-source alternative):

sudo python3 tbw-nemotron-3-nano.py

Requirements:

# Install smartmontools
brew install smartmontools

# Python 3.7+
python3 --version

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📸 Screenshots

Click to see Claude Sonnet 4.5 output

======================================================================
         SSD SMART REPORT - Complete Diagnostics
======================================================================

⚠️  Note: This script may require sudo privileges to access SMART data.
    Trying without sudo first, then with sudo if needed.

======================================================================
  DISK: /dev/disk0
======================================================================

┌────────────────────────────────────────────────────────────────────┐
│                         KEY METRICS SUMMARY                        │
├────────────────────────────────────────────────────────────────────┤
│  Critical Warning                                         0x00 (OK) │
│  Temperature                                                  28 °C │
│  Wear Level                                                      0% │
│  TBW (Data Units)                                        8022.20 TB │
│  Host Writes                                            379,822,896 │
│  Power On Hours                                 251 hours (10 days) │
│  Media Errors                                                     0 │
└────────────────────────────────────────────────────────────────────┘

Click to see Nemotron 3 Nano output

=== INFORME SMART COMPLETO ===

SMART/Health Information (NVMe Log 0x02, NSID 0xffffffff)
Critical Warning:                   0x00
Temperature:                        28 Celsius
Available Spare:                    100%
Available Spare Threshold:          99%
Percentage Used:                    0%
Data Units Read:                    40,640,061 [20.8 TB]
Data Units Written:                 16,429,485 [8.41 TB]
Host Read Commands:                 363,638,479
Host Write Commands:                379,824,113
Power Cycles:                       396
Power On Hours:                     251
Media and Data Integrity Errors:    0

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🤝 Contributing

Found a bug or want to improve a script? PRs welcome!

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📜 License

MIT License - Feel free to use, modify, and distribute.

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🌟 Star This Repo!

If you found this comparison useful, please star the repo! It helps others discover this research.

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🔗 Related

• smartmontools Documentation
• Nemotron 3 Nano by NVIDIA
• Claude by Anthropic

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Made with 🤖 by AI (and a human who tested them all)

_{Comparison conducted on macOS 14.6 (Sonoma) with Python 3.14 and smartmontools 7.5}