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kimi-k2-turbo-preview

A Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models.

🔧Tool calling
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Specifications

Context window131K tokens
Max output—
API typechat
AddedAug 6, 2025
Model IDmoonshot/kimi-k2-turbo-preview
Data retentionYes
Used for trainingYes
Provider location🇨🇳 China
Privacy policyMoonshot Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Moonshot AI models overview.

Pricing

Input / 1M
$1.20
Output / 1M
$5.00
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.17
1M input + 100K output$1.70
10M input + 1M output$17.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to moonshot/kimi-k2-turbo-preview.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="moonshot/kimi-k2-turbo-preview",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Moonshot AI models

kimi-k2.6
262K ctx$0.95/1M
kimi-k2.5
262K ctx$0.60/1M
kimi-k2-thinking-turbo
131K ctx$0.60/1M
kimi-k2-0905-preview
131K ctx$0.60/1M
kimi-k2-thinking
131K ctx$0.60/1M
kimi-k2-0711-preview
131K ctx$0.60/1M

Frequently asked questions

How much does kimi-k2-turbo-preview cost?
kimi-k2-turbo-preview is priced at $1.20 per million input tokens and $5.00 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of kimi-k2-turbo-preview?
kimi-k2-turbo-preview has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
What can kimi-k2-turbo-preview do?
kimi-k2-turbo-preview supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use kimi-k2-turbo-preview with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "moonshot/kimi-k2-turbo-preview". The Quickstart above shows Python, JavaScript and cURL snippets.

Access kimi-k2-turbo-preview through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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