Directory · Model comparison
Claude Sonnet Pricing Reference vs GPT-5.6 Luna
Side-by-side API economics and benchmarks. Per-1M input and output rates, context window, and verified metrics.
Tale of the tape
Head-to-head specs pulled from each model profile.
| Metric | Claude Sonnet Pricing Reference | GPT-5.6 Luna |
|---|---|---|
| Input cost / 1M | $2.00 | $1.00 |
| Output cost / 1M | $10.00 | $6.00 |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
Claude Sonnet Pricing Reference
- Input: 1M × $2.00 = $2.00
- Output: 1M × $10.00 = $10.00
- Total
- $12.00
GPT-5.6 Luna
- Input: 1M × $1.00 = $1.00
- Output: 1M × $6.00 = $6.00
- Total
- $7.00
Total cost savings
$5.00
GPT-5.6 Luna saves $5.00 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. Claude Sonnet Pricing Reference is the premium route (higher combined per-1M cost); GPT-5.6 Luna handles routine traffic.
All premium
Claude Sonnet Pricing Reference
$600.00
100% of input and output on the premium route
Routed stack
80% → GPT-5.6 Luna
20% → Claude Sonnet Pricing Reference
$400.00
- Routine slice
- $280.00
- Premium slice
- $120.00
Monthly savings
$200.00
33.3% lower
Rates pulled from this page's model database entries (claude-sonnet-pricing-reference, gpt-5-6-luna) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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