Directory · Model comparison
GPT-5.6 Luna vs GPT-5.6 Sol
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 | GPT-5.6 Luna | GPT-5.6 Sol |
|---|---|---|
| Input cost / 1M | $0.20 | $4.00 |
| Output cost / 1M | $1.20 | $20.00 |
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-5.6 Luna
- Input: 1M × $0.20 = $0.20
- Output: 1M × $1.20 = $1.20
- Total
- $1.40
GPT-5.6 Sol
- Input: 1M × $4.00 = $4.00
- Output: 1M × $20.00 = $20.00
- Total
- $24.00
Total cost savings
$22.60
GPT-5.6 Luna saves $22.60 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. GPT-5.6 Sol is the premium route (higher combined per-1M cost); GPT-5.6 Luna handles routine traffic.
All premium
GPT-5.6 Sol
$1,200.00
100% of input and output on the premium route
Routed stack
80% → GPT-5.6 Luna
20% → GPT-5.6 Sol
$296.00
- Routine slice
- $56.00
- Premium slice
- $240.00
Monthly savings
$904.00
75.3% lower
Rates pulled from this page's model database entries (gpt-5-6-sol, 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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