GPT-5.6 vs Kimi K2.6: API pricing
OpenAI's GPT-5.6 against Moonshot AI's Kimi K2.6 on price alone — per-token rates, caching, and context window. Run your own workload through both with the calculator below; capability differences are yours to judge on your evals.
Prices last synced Aug 20, 2026 from the LiteLLM community price catalog — the same catalog Marginal prices real usage events against, refreshed daily. Spot an error? Tell us.
Price takeaways
- Input: Kimi K2.6 is 5x cheaper.
- Output: Kimi K2.6 is 8x cheaper.
- Cached input: Kimi K2.6 is 3x cheaper.
- Ratios shift with workload shape — output-heavy traffic weights the output rate, cache-friendly traffic weights the cached rate. The calculator below does the arithmetic on your numbers.
Your workload on both
Your monthly workload
Cache hit rate = share of input tokens served from the provider's prompt cache, billed at the model's cached-input price. Estimates use standard per-token rates — batch discounts, service tiers, and long-context surcharges are not applied.
| Model | Input | Cached input | Output | Per request | Monthly |
|---|---|---|---|---|---|
| Kimi K2.6cheapest | $570 | $64.00 | $1,000 | $0.00327 | $1,634 |
| GPT-5.6 | $3,000 | $200 | $7,500 | $0.021 | $10,700 |
Related comparisons
Switching models? Watch the bill move in real time.
Marginal prices every call against that day's rates, so an A/B between these two shows up as dollars per customer and feature — not a surprise at month end.