Kimi K3
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Data updated on September 30, 2026· 217 models
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 944 K
- Input, $ per 1M tokens
- $3.00
- Output, $ per 1M tokens
- $15.00
- Cache read, $ per 1M
- $0.300
- Batch (input / output)
- $2.28 / $11.40
- Tool calling
- Yes
- Released
- 07/16/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3
Summary from the data
Kimi K3 is a Moonshot model available by API since 07/16/2026. It costs $3.00 per million input tokens and $15.00 per million output tokens, accepts 1 M tokens of context and generates up to 944 K tokens per response. Input: text, image, video; output: text. It has a reasoning mode. It supports tool calling. With 10,000 requests a month of 1,500 input and 400 output tokens it would cost about $105.00 a month.
Compare Kimi K3 with…
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Frequently asked questions
How much does Kimi K3 cost per million tokens?
Kimi K3 costs $3.00 per million input tokens and $15.00 per million output tokens (USD, list price). Cache read: $0.300. Batch tier: $2.28 / $11.40.
What context window does Kimi K3 have?
Kimi K3 accepts 1 M tokens of context per request and generates up to 944 K tokens per response.
Does Kimi K3 accept images, audio or files?
Input: text, image, video. Output: text.
Does Kimi K3 have a reasoning mode and tool calling?
It has a reasoning mode. It supports tool calling.
When was Kimi K3 released and what is its knowledge cutoff?
Kimi K3 has been available by API since 07/16/2026. Knowledge cutoff: not published.
What would an app built on Kimi K3 cost?
With 10,000 requests a month of 1,500 input and 400 output tokens, Kimi K3 would cost about $105.00 a month at list price, without cache or batch discounts.
What is the API id of Kimi K3?
The id is moonshotai/kimi-k3. It is the name passed in the model parameter of the API (or on OpenRouter).
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.