How much does Kimi K2 Base cost per million tokens?
As of August 30, 2026, Kimi K2 Base OpenRouter API pricing is $0.57 per million input tokens and $2.30 per million output tokens via OpenRouter. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://openrouter.ai/moonshotai/kimi-k2
What is the blended API cost for Kimi K2 Base?
On this page the blended Kimi K2 Base API cost is $2.87 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $4.01.
How much does a typical Kimi K2 Base request cost?
A typical Kimi K2 Base API request with 100K input tokens and 20K output tokens costs about $0.10 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from OpenRouter can bring the real invoice lower than the public list rate at https://openrouter.ai/moonshotai/kimi-k2.
What is the context window for Kimi K2 Base?
Kimi K2 Base supports a 131K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Is Kimi K2 Base open source?
Yes. Kimi K2 Base is an open-weight model by Moonshot AI. You can download the weights and self-host, or pay OpenRouter's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
What benchmarks does Kimi K2 Base perform well on?
Kimi K2 Base currently reports GPQA 48.1%, LiveCodeBench v6 26.3%, SimpleQA 35.3%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
How do I compare Kimi K2 Base with another LLM?
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Kimi K2 Base vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
What are the cheapest alternatives to Kimi K2 Base?
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Kimi K2 Base. Open-weight models can be cheaper still if you self-host, but that is not the same as OpenRouter API pricing on this page.
How do I use Kimi K2 Base in my application?
Kimi K2 Base is called through OpenRouter's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for OpenRouter and 5+ other providers with auth, payments, and deployment already configured.
How accurate is this Kimi K2 Base pricing data?
This Kimi K2 Base page tracks the latest published OpenRouter API pricing from OpenRouter, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://openrouter.ai/moonshotai/kimi-k2. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.