Moonshot model
Kimi K2 0711 API cost calculator
Kimi K2 0711 costs $0.57 per 1M input tokens and $2.30 per 1M output tokens on the Moonshot API, with a 131K-token context window. A typical request (2K input, 500 output tokens) costs $0.0023 — about $68.70/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Kimi K2 0711
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0010 | $0.97 |
| RAG query with context | 4,000 / 500 | $0.0034 | $3.43 |
| Document summarization | 20,000 / 1,000 | $0.01 | $13.70 |
| Agent coding session | 100,000 / 5,000 | $0.07 | $68.50 |
Kimi K2 0711 vs other Moonshot models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Kimi K2 0711 | $0.57 | $2.30 | 131K |
| Kimi K3 | $3 | $15 | 1.0M |
| Kimi K2.7 Code | $0.67 | $3.40 | 262K |
| Kimi K2.6 | $0.58 | $2.44 | 262K |
| Kimi K2.5 | $0.45 | $2.25 | 262K |
Frequently asked questions
How much does Kimi K2 0711 cost per 1M tokens?
According to current pricing data, Kimi K2 0711 costs $0.57 per 1M input tokens and $2.30 per 1M output tokens. Processing 1M tokens each way costs $2.87.
What does a typical API request to Kimi K2 0711 cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0023. At 1,000 requests per day that is $2.29 daily, or about $68.70 per month.
What is Kimi K2 0711's context window?
Kimi K2 0711 supports a 131K-token context window (131,072 tokens).
Does Kimi K2 0711 support prompt caching?
No cache-read pricing is published for Kimi K2 0711, so every input token is billed at the full $0.57 per 1M rate.
What is a cheaper alternative to Kimi K2 0711?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.57 for Kimi K2 0711 — roughly 57x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Kimi K2 0711 vs Ling-2.6-flash pricing, or run Kimi K2 0711 head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.