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Parasail

parasail-kimi-k2-instruct

🔧Tool calling
Try parasail-kimi-k2-instructCompareDocs

Specifications

Context window131K tokens
Max output16K tokens
API typechat
AddedAug 18, 2025
Model IDparasail/parasail-kimi-k2-instruct
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyParasail 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 Parasail models overview.

Pricing

Input / 1M
$0.99
Output / 1M
$2.99
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.13
1M input + 100K output$1.29
10M input + 1M output$12.89

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 parasail/parasail-kimi-k2-instruct.

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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="parasail/parasail-kimi-k2-instruct",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Parasail models

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262K ctx$0.60/1M
parasail-qwen3-235b-a22b-instruct-2507
262K ctx$0.15/1M
parasail-gemma3-27b-it
128K ctx$0.30/1M
parasail-qwen25-vl-72b-instruct
33K ctx$0.70/1M

Frequently asked questions

How much does parasail-kimi-k2-instruct cost?
parasail-kimi-k2-instruct is priced at $0.99 per million input tokens and $2.99 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 parasail-kimi-k2-instruct?
parasail-kimi-k2-instruct has a context window of 131K tokens, with a maximum output of 16K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
What can parasail-kimi-k2-instruct do?
parasail-kimi-k2-instruct supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use parasail-kimi-k2-instruct 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 "parasail/parasail-kimi-k2-instruct". The Quickstart above shows Python, JavaScript and cURL snippets.

Access parasail-kimi-k2-instruct through Requesty

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