Directory · Model comparison
Claude Opus 4.8 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 Opus 4.8 | GPT-5.6 Luna |
|---|---|---|
| Input cost / 1M | $5.00 | $1.00 |
| Output cost / 1M | $25.00 | $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 Opus 4.8
- Input: 1M × $5.00 = $5.00
- Output: 1M × $25.00 = $25.00
- Total
- $30.00
GPT-5.6 Luna
- Input: 1M × $1.00 = $1.00
- Output: 1M × $6.00 = $6.00
- Total
- $7.00
Total cost savings
$23.00
GPT-5.6 Luna saves $23.00 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. Claude Opus 4.8 is the premium route (higher combined per-1M cost); GPT-5.6 Luna handles routine traffic.
All premium
Claude Opus 4.8
$1,500.00
100% of input and output on the premium route
Routed stack
80% → GPT-5.6 Luna
20% → Claude Opus 4.8
$580.00
- Routine slice
- $280.00
- Premium slice
- $300.00
Monthly savings
$920.00
61.3% lower
Rates pulled from this page's model database entries (claude-opus-4-8, gpt-5-6-luna) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
Related comparisons
More head-to-head model matchups.