TL;DR
| Model | Input Cost | Output Cost | Quality | Speed |
|---|---|---|---|---|
| DeepSeek V3 | $0.07/M | $0.14/M | 9/10 | 60 tok/s |
| GPT-4o | $2.50/M | $10.00/M | 9.5/10 | 40 tok/s |
| Claude 3.5 | $3.00/M | $15.00/M | 9.5/10 | 35 tok/s |
| Gemini 2.0 | $1.25/M | $5.00/M | 9/10 | 50 tok/s |
The Elephant in the Room: DeepSeek is 70x Cheaper
If you are running a content production pipeline that processes 1M tokens per day:
- GPT-4o: $12.50/day = $375/month
- Claude 3.5: $18.00/day = $540/month
- DeepSeek V3: $0.21/day = $6.30/month
DeepSeek is literally 60-85x cheaper while delivering comparable quality.
Quality Comparison
Coding Tasks
DeepSeek excels at:
- Python/JavaScript generation
- Bug fixing and refactoring
- API integration code
GPT-4o still leads in:
- Complex system design
- Multi-language polyglot tasks
- Edge cases in compiled languages
Content Writing
For blog posts and articles:
- DeepSeek: Excellent technical content, good English
- GPT-4o: Most natural English, best at storytelling
- Claude: Best at nuanced, thoughtful long-form content
My Recommendation
For production workloads where cost matters:
- Use DeepSeek V3 for 90% of tasks
- Fall back to GPT-4o for complex reasoning
- Use Claude for content that needs a human touch
This hybrid approach gives you 95% of the quality at 10% of the cost.
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Which LLM is in your stack? Share in the comments!
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