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Moonshot AIOpen-weight·262K context·— params

Kimi K2 Thinkingmoonshot/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...

Cheapest blended:$1.07 / 1M tokenson Moonshot AI · 1 provider listed

Pricing across providers

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ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction
Moonshot AI
kimi-k2-thinking
$0.60$2.50$1.07—OpenAI-compatibleNeeds 27d agoTry →

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Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

Code samples

Example using Moonshot AI — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.moonshot.cn/v1",
)

response = client.chat.completions.create(
    model="kimi-k2-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
262K
Max output
262K
Parameters
—
Release
—
Training cutoff
—
License
—
Hugging Face →

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  • Kimi K2 Thinking vs DeepSeek V3.1
    Comparison planned — not yet published

Frequently asked

How much does Kimi K2 Thinking cost?+
The cheapest public hosting is $1.07 per 1M blended tokens on Moonshot AI. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access Kimi K2 Thinking from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is Kimi K2 Thinking open-source? Can I fine-tune it?+
Yes. Kimi K2 Thinking is open-weight under the unspecified license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is Kimi K2 Thinking OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for Kimi K2 Thinking?+
The model supports up to 262,144 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.