Kimi API Pricing Calculator
Estimate your monthly and annual token and context-caching costs for Kimi K2.6, K2.5, and Moonshot-v1 models in 2026. Custom configure automatic prompt caching rates and live search grounding.
Token & Workload Parameterizer
Configure model endpoints, context thresholds, and caching efficiencies
Endpoints represent parsing configurations optimized for complex multi-million token processing, agentic chats, and retrieval-augmented reasoning.
Your expected monthly prompt, history metadata, and structural system instructions.
Moonshot’s automatic prompt caching hit system discounts matching prefixes by up to 90% dynamically.
Defines the ratio of generated output tokens relative to input queries.
Enabling these elements guarantees immediate relevance and massive concurrent latency optimizations.
Calculated Cost Summary
Annual & Monthly API token expenditure matrix
Select your active model endpoint, adjust your monthly token volume, configure caching hit percentages, and hit Calculate to evaluate your costs.
Kimi API Specifications
Detailed pricing breakdowns per 1,000,000 tokens across core text and long-context feeds for 2026.
| Model Endpoint / Integration Feed | Cache Miss Rate (Per Million) | Cache Hit Rate (Per Million) | Output Rate (Per Million) |
|---|---|---|---|
| Kimi K2.6 (Flagship Long-Context) | $0.95 | $0.10 | $4.00 |
| Kimi K2.5 (High Speed Unified) | $0.50 | $0.05 | $2.00 |
| Moonshot-v1-128k (Max Long-Context) | $8.25 | $0.825 | $8.25 |
| Moonshot-v1-32k (Mid Context) | $3.30 | $0.33 | $3.30 |
| Moonshot-v1-8k (Short Context) | $1.65 | $0.165 | $1.65 |
Kimi API FAQ
Answers to critical questions regarding context caching, thinking token calculations, and platform rate-limiting.
The Kimi API (developed by Moonshot AI) provides developers with access to state-of-the-art long-context LLMs, including the flagship Kimi K2.6, K2.5, and the iconic Moonshot-v1 models that pioneered ultra-long context windows up to millions of tokens.
Pricing is calculated using a Cost-Per-Million (CPM) tokens model. Fees are split into input tokens (with massive discounts for cached prompts) and generated output tokens. Prices are highly competitive, starting at just $0.95/M input tokens and $4.00/M output tokens for the flagship Kimi K2.6.
Prompt caching (or context caching) is Moonshot’s signature optimization. When you make consecutive API requests containing similar preambles, system prompts, or RAG documentation, matching cached prefixes receive a massive 90% discount on input token rates.
Yes. Search Grounding can be enabled to query real-time search engines for up-to-date facts before generating answers. When enabled, search grounding carries a small overhead of $0.50 per million input tokens.
Yes, Kimi API’s flagship K2.6 is significantly more cost-effective than frontier Western models, while offering robust multi-million token context windows and highly efficient processing of structured Chinese and English texts.