95% offKimi K2.7 Code API
Moonshot AI·Vision· 100.0% success (7d)
Kimi K2.7 Code — Moonshot AI's coding-focused model in the Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. A native multimodal mixture-of-experts model with a 256K-token context window, agentic tool use, and prompt caching.
Pricing
Cheapest live price, per 1 million tokens.
Input / 1M tokens
$0.600 OpenRouter
Output / 1M tokens
$3.00 OpenRouter
Cache read / 1M
Repeated prompt prefixes
Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).
Capabilities · 9
Specifications
- Context window
- 262K
- Max output
- 131K
- Type
- Vision
- Creator
- Moonshot AI
- Live sellers
- 255
- Requests / 24h
- 3,439
Price history · 60 days
Estimated monthly cost
30 days at the cheapest live price.
Quick start
OpenAI-compatible — change the base URL and key. Get a key from the dashboard.
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="YOUR_QUBAX_API_KEY",
)
response = client.chat.completions.create(
model="kimi-k2.7-code",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About Kimi K2.7 Code
Kimi K2.7 Code is a multimodal language model developed by Moonshot AI. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 262K tokens. Its 262K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 131K tokens in a single response.
As of Nov 7, 2026, Kimi K2.7 Code costs $0.034 per 1M input tokens and $0.137 per 1M output tokens on Qubax, versus $0.600 / $3.00 on OpenRouter (94% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.14. Measured availability over the last 7 days: 100.0%. 255 independent compute providers currently serve it, so requests fail over automatically. It handled 3,439 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.
Similar-priced alternatives
Frequently asked questions
How much does the Kimi K2.7 Code API cost?
On Qubax, Kimi K2.7 Code costs $0.034 per 1M input tokens and $0.137 per 1M output tokens. This is 94% cheaper than OpenRouter's price of $0.600 per 1M input tokens.
Is the Kimi K2.7 Code API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Kimi K2.7 Code as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is Kimi K2.7 Code cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 94% cheaper than OpenRouter's price for Kimi K2.7 Code.
How do I pay for Kimi K2.7 Code API usage?
Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.
What is the context window of Kimi K2.7 Code?
Kimi K2.7 Code supports a context window of 262K tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with Kimi K2.7 Code?
You can use Kimi K2.7 Code to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast and reliable is Kimi K2.7 Code on Qubax?
Measured time to first token (p95) on Qubax is 35.6s. Its 7-day success rate is 100.0%. Responses stream token by token. 255 sellers serve it, so if one is slow or down the request moves to the next.
Kimi K2.7 Code vs Meta: Muse Spark 1.2 Contributor: which should I choose?
Kimi K2.7 Code by Moonshot AI and Meta: Muse Spark 1.2 Contributor by Meta are both strong models in a similar price tier. Kimi K2.7 Code excels at complex reasoning and supports vision/image inputs. Meta: Muse Spark 1.2 Contributor comes from a different lab and may have different strengths depending on your workload. On Qubax, Kimi K2.7 Code starts at $0.034/1M input tokens versus Meta: Muse Spark 1.2 Contributor's $0.045/1M — making Kimi K2.7 Code the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use Kimi K2.7 Code for commercial projects?
Yes. Kimi K2.7 Code on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
Why use Kimi K2.7 Code on Qubax?
95% cheaper
Providers compete on price — you get the cheapest healthy seller.
Pay with crypto
350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.
OpenAI & Anthropic compatible
Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.