Directory · Model comparison
GPT-5.6 Luna vs Kimi K2.7 Code
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 | Kimi K2.7 Code |
|---|---|---|
| Input cost / 1M | $0.20 | $0.95 |
| Output cost / 1M | $1.20 | $4.00 |
| Context window | 1,050,000 tokens | 262,144 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
Kimi K2.7 Code
- Input: 1M × $0.95 = $0.95
- Output: 1M × $4.00 = $4.00
- Total
- $4.95
Total cost savings
$3.55
GPT-5.6 Luna saves $3.55 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. Kimi K2.7 Code is the premium route (higher combined per-1M cost); GPT-5.6 Luna handles routine traffic.
All premium
Kimi K2.7 Code
$247.50
100% of input and output on the premium route
Routed stack
80% → GPT-5.6 Luna
20% → Kimi K2.7 Code
$105.50
- Routine slice
- $56.00
- Premium slice
- $49.50
Monthly savings
$142.00
57.4% lower
Rates pulled from this page's model database entries (kimi-k2-7-code, 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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