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kimi-k2.5AWS Bedrock @us-east-1

in /1M$0.60input tokens
out /1M$3.00output tokens
context128K16K out
trainingnoon your prompts
api
chat
hosting
US
model lab
Moonshot AI
weights
open
added
January 2026
model id
bedrock/kimi-k2.5@us-east-1

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

3 providers serve kimi-k2.5. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.60
output
$3.00
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0900
1M in + 100K out$0.90
10M in + 1M out$9.00

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
τ²-Bench95.9
GPQA Diamond87.9
Coding Index46.8
Terminal-Bench Hard34.8
Humanity's Last Exam30.7
Intelligence Index23.5
6 evalsmean53.3

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-01-27.

policy

data terms
retention
none
trains on prompts
no
hosted in
US
deployment
us-east-1

Terms are the provider's, not Requesty's: routing a request here puts it under them. AWS Privacy Notice

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
bedrock/kimi-k2.5@us-east-1

this id pins the aws bedrock deployment, with no routing and no failover. the managed id on the canonical page routes across all 3 providers instead

main.py
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="bedrock/kimi-k2.5@us-east-1",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

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.

questions 7

How much does kimi-k2.5 cost?
kimi-k2.5 is priced at $0.60 per million input tokens and $3.00 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-k2.5?
kimi-k2.5 has a context window of 128K tokens, with a maximum output of 16K tokens per response. That is roughly 171 words of input you can fit in a single prompt.
How does kimi-k2.5 perform on benchmarks?
kimi-k2.5 scores 95.9% on τ²-Bench, 87.9% on GPQA Diamond, 46.8% on Coding Index. The benchmarks pane shows every published result, each normalised to 100.
What can kimi-k2.5 do?
kimi-k2.5 supports vision input, tool calling, extended reasoning, structured outputs (JSON schema). 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 "bedrock/kimi-k2.5@us-east-1". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run kimi-k2.5 through Requesty?
Yes. kimi-k2.5 runs through Requesty's OpenAI-compatible API, served from AWS Bedrock in us-east-1. You do not host the model yourself: point base_url at Requesty, set the model to "bedrock/kimi-k2.5@us-east-1", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
What region is this deployment?
This variant of kimi-k2.5 is deployed in us-east-1. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements such as GDPR and HIPAA. Other regions for the same model are listed on the canonical model page.

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call kimi-k2.5 through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

kimi-k2.5aws bedrockin $0.60 /1Mout $3.00 /1Mctx 128Khosted US3 providers serve this model