Requesty
Parasail

Kimi K2.5

Kimi K2.5 is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base. It seamlessly integrates vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms.

👁Vision🔧Tool calling
Try Kimi K2.5CompareDocs

Specifications

Context window262K tokens
Max output131K tokens
API typechat
AddedMar 31, 2026
Model IDparasail/Kimi K2.5
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
$0.60
Output / 1M
$2.80
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0880
1M input + 100K output$0.88
10M input + 1M output$8.80

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/Kimi K2.5.

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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/Kimi K2.5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Parasail models

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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 Kimi K2.5 cost?
Kimi K2.5 is priced at $0.60 per million input tokens and $2.80 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 K2.5?
Kimi K2.5 has a context window of 262K tokens, with a maximum output of 131K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
What can Kimi K2.5 do?
Kimi K2.5 supports vision input, tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use Kimi K2.5 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/Kimi K2.5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access Kimi K2.5 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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