As of August 30, 2026, Kimi-k1.5 API pricing is $0.15 per million input tokens and $2.50 per million output tokens. A typical 100K-in / 20K-out request costs $0.07. Source: https://platform.moonshot.ai/docs/pricing
Blended / 1M
$2.65
Input
$0.15
Output
$2.50
100K / 20K
$0.07
Specs
128K
Jan 20, 2025
Proprietary
Percentile against every model with a published score on that eval. Click a row for the full board.
IFEval against blended input+output $/M. Log price. Kimi-k1.5 is the green point.
Published scores
9 evals · 4 groups
Same search as the hub. Pick any model, or jump into a priced matchup.
Moonshot AI
OpenAI
Anthropic
Google
xAI
DeepSeek
MiniMax
As of August 30, 2026, Kimi-k1.5 Moonshot AI API pricing is $0.15 per million input tokens and $2.50 per million output tokens. 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://platform.moonshot.ai/docs/pricing
On this page the blended Kimi-k1.5 API cost is $2.65 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 $2.95.
A typical Kimi-k1.5 API request with 100K input tokens and 20K output tokens costs about $0.07 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 Moonshot AI can bring the real invoice lower than the public list rate at https://platform.moonshot.ai/docs/pricing.
Kimi-k1.5 supports a 128K 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.
No. Kimi-k1.5 is a proprietary model by Moonshot AI. The only public way to call it is Moonshot AI's API, billed per million input and output tokens. There is no self-host option for the weights.
Kimi-k1.5 currently reports IFEval 87.2%, AIME 2024 77.5%, MATH 500 96.2%. 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.
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-k1.5 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.
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-k1.5. Open-weight models can be cheaper still if you self-host, but that is not the same as Moonshot AI API pricing on this page.
Kimi-k1.5 is called through Moonshot AI'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 Moonshot AI and 5+ other providers with auth, payments, and deployment already configured.
This Kimi-k1.5 page tracks the latest published Moonshot AI API pricing from Moonshot AI, 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://platform.moonshot.ai/docs/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Kimi-k1.5 is a proprietary model from Moonshot AI. Current API pricing is $0.15 per million input tokens and $2.50 per million output tokens, with a 128K token context window. A blended 1M-in / 1M-out workload costs $2.65.
Source: Moonshot AI pricing (https://platform.moonshot.ai/docs/pricing)
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
344 models across 36 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
