Directory · Model comparison
DeepSeek-R1-0528 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 | DeepSeek-R1-0528 | GPT-5.6 Luna |
|---|---|---|
| Input cost / 1M | $0.50 | $1.00 |
| Output cost / 1M | $2.15 | $6.00 |
| Context window | 163,840 tokens | 1,050,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
DeepSeek-R1-0528
- Input: 1M × $0.50 = $0.50
- Output: 1M × $2.15 = $2.15
- Total
- $2.65
GPT-5.6 Luna
- Input: 1M × $1.00 = $1.00
- Output: 1M × $6.00 = $6.00
- Total
- $7.00
Total cost savings
$4.35
DeepSeek-R1-0528 saves $4.35 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. GPT-5.6 Luna is the premium route (higher combined per-1M cost); DeepSeek-R1-0528 handles routine traffic.
All premium
GPT-5.6 Luna
$350.00
100% of input and output on the premium route
Routed stack
80% → DeepSeek-R1-0528
20% → GPT-5.6 Luna
$176.00
- Routine slice
- $106.00
- Premium slice
- $70.00
Monthly savings
$174.00
49.7% lower
Rates pulled from this page's model database entries (gpt-5-6-luna, deepseek-r1) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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