Directory · Model comparison
GPT-4.1 mini 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-4.1 mini | Kimi K2.7 Code |
|---|---|---|
| Input cost / 1M | $0.40 | $0.95 |
| Output cost / 1M | $1.60 | $4.00 |
| Context window | 1,047,576 tokens | 262,144 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-4.1 mini
- Input: 1M × $0.40 = $0.40
- Output: 1M × $1.60 = $1.60
- Total
- $2.00
Kimi K2.7 Code
- Input: 1M × $0.95 = $0.95
- Output: 1M × $4.00 = $4.00
- Total
- $4.95
Total cost savings
$2.95
GPT-4.1 mini saves $2.95 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-4.1 mini handles routine traffic.
All premium
Kimi K2.7 Code
$247.50
100% of input and output on the premium route
Routed stack
80% → GPT-4.1 mini
20% → Kimi K2.7 Code
$129.50
- Routine slice
- $80.00
- Premium slice
- $49.50
Monthly savings
$118.00
47.7% lower
Rates pulled from this page's model database entries (kimi-k2-7-code, gpt-4-1-mini) — 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.