Requesty
Inceptron AB

kimi-k2.7-Code

Kimi K2.7 Code is a coding-focused agentic model built on Kimi K2.6, tuned for long-horizon software engineering workflows, multi-step tool use, and end-to-end task completion. It keeps the trillion-parameter MoE architecture with roughly 32B active parameters, a 256K-token context window, native INT4 quantization, and multimodal image and video input support while reducing thinking-token usage compared with K2.6.

VisionReasoningTool callingCaching
Try kimi-k2.7-CodeCompareDocs

Specifications

Context window256K tokens
Max output256K tokens
API typechat
AddedJun 23, 2026
Model IDinceptron/kimi-k2.7-Code
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU (Sweden)
Privacy policyInceptron Privacy Policy→

Benchmarks

Released 2026-06-12
Coding Indexcoding
60.8%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
89.6%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
41.9%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Input / 1M
$0.75
Output / 1M
$3.50
Cache write
N/A
Cache read / 1M
$0.20
Estimated cost
100K input + 10K output$0.11
1M input + 100K output$1.10
10M input + 1M output$11.00

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 inceptron/kimi-k2.7-Code.

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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="inceptron/kimi-k2.7-Code",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Inceptron AB models

minimax-m2.5
197K ctx$0.28/1M
kimi-k2.6
262K ctx$0.80/1M
Coding 56
glm-5.1
203K ctx$1.40/1M
Coding 56

Frequently asked questions

How much does kimi-k2.7-Code cost?
kimi-k2.7-Code is priced at $0.75 per million input tokens and $3.50 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of kimi-k2.7-Code?
kimi-k2.7-Code has a context window of 256K tokens, with a maximum output of 256K tokens per response. That's roughly 341 words of input you can fit in a single prompt.
How does kimi-k2.7-Code perform on benchmarks?
kimi-k2.7-Code scores 90.1% on τ²-Bench, 89.6% on GPQA Diamond, 60.8% on Coding Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can kimi-k2.7-Code do?
kimi-k2.7-Code supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use kimi-k2.7-Code 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 "inceptron/kimi-k2.7-Code". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run kimi-k2.7-Code through Requesty?
Yes. kimi-k2.7-Code runs through Requesty's OpenAI-compatible API, served from Inceptron AB. You do not host the model yourself: point base_url at Requesty, set the model to "inceptron/kimi-k2.7-Code", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access kimi-k2.7-Code 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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