I needed to pick a Claude model for production.
Three options. Three price points. Three levels of capability.
So I tested them against real code. Not benchmarks. Real problems.
The Quick Numbers
Opus 5.5:
- 12 seconds response time
- $0.042 per request
- 95% accuracy
- Exceptional depth
Sonnet 5.5:
- 9 seconds response time
- $0.011 per request
- 90% accuracy
- Practical recommendations
Haiku 5.5:
- 4 seconds response time
- $0.001 per request
- 80% accuracy
- Surface-level but useful
The Uncomfortable Truth
At scale (10,000 requests/day):
- Opus: $420/day ($153K/year)
- Sonnet: $110/day ($40K/year)
- Haiku: $10/day ($3.6K/year)
Most developers default to Opus because "it's the best."
But they're throwing away money.
What I Actually Found
Opus wins on ~10% of tasks: multi-step reasoning, complex refactoring, novel problems.
For everything else? Sonnet crushes it. Cheaper, faster, good enough.
And Haiku? The benchmarks undersell it. For real-time systems, it's incredible.
The real question isn't "which model is best?"
It's "which model is best for MY actual use case?"
The Full Analysis
I tested on real code. Measured speed, cost, quality. Analyzed the cost-benefit at scale. Broke down when each model actually matters.
The full breakdown — with cost calculations, decision framework, and escalation strategy — is on my blog:
👉 Read the complete analysis on my blog
This is part of "Claude Foundations & Model Family" — a 30-post deep-dive into mastering Claude in production. Daily posts.
Next: Why Claude Opus Is Overkill (And When You Actually Need It)
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