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Moonshot

kimi-k2-thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

TextReasoningTools262.1KWebSearch
Input$1.00/ 1M
Output$4.16/ 1M
Context262.1K
Endpointsopenai, anthropic

Capabilities

ReasoningToolsStructuredWeb search

Modalities

Input
text
Output
text

Quick stats

Context window262.1K
Max output262.1K
Modechat
TokenizerOther
Quantizationint4

Performance

Loading performance data...

Supported parameters

ParameterAlwaysDefault
frequency_penalty(do not send)
include_reasoning-
logit_bias--
logprobs--
max_tokens-
min_p--
presence_penalty-
reasoning-
repetition_penalty-
response_format-
seed-
stop-
structured_outputs-
temperature(do not send)
tool_choice-
tools-
top_k-
top_logprobs--
top_p(do not send)
§ 01

Pricing

Input price$1.00 · 1M tokens
Output price$4.16 · 1M tokens
Context window262.1K tokens
Compatible endpointsopenai, anthropic
VendorMoonshot
§ 02

Call kimi-k2-thinking from your code

Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.

bash
curl https://api.unorouter.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Sign in to auto-fill your API key

§ 03

Frequently asked questions

How much does kimi-k2-thinking cost per 1M tokens?

Input is priced at $1.00 per 1M tokens, output at $4.16 per 1M tokens. Billing is per token, no rounding to batch sizes.

How do I access kimi-k2-thinking via API?

Send requests to the UnoRouter /v1/chat/completions endpoint with model=kimi-k2-thinking. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.

What is the context window of kimi-k2-thinking?

kimi-k2-thinking supports a context window of 262.1K tokens, shared between your prompt and the model's response.

§ 04

Similar models

Try kimi-k2-thinking now

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