63% offThinking Machines: Inkling API
Kuaishou·Text
Awaiting review.
Pricing
Cheapest live price, per 1 million tokens.
Input / 1M tokens
$0.950 OpenRouter
Output / 1M tokens
$4.05 OpenRouter
Cache read / 1M
Repeated prompt prefixes
Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).
Specifications
- Context window
- 1.0M
- Max output
- 4K
- Type
- Text
- Creator
- Kuaishou
- Live sellers
- 26
- Requests / 24h
- 798
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="inkling",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About Thinking Machines: Inkling
Thinking Machines: Inkling is a language model developed by Kuaishou. It's particularly well-suited for handling large contexts of up to 1.0M tokens. Its 1.0M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 4K tokens in a single response.
As of Oct 12, 2026, Thinking Machines: Inkling costs $0.365 per 1M input tokens and $1.48 per 1M output tokens on Qubax, versus $0.950 / $4.05 on OpenRouter (62% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $1.47. 26 independent compute providers currently serve it, so requests fail over automatically. It handled 798 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 200+ other coins — no credit card required.
Similar-priced alternatives
Frequently asked questions
How much does the Thinking Machines: Inkling API cost?
On Qubax, Thinking Machines: Inkling costs $0.365 per 1M input tokens and $1.48 per 1M output tokens. This is 62% cheaper than OpenRouter's price of $0.950 per 1M input tokens.
Is the Thinking Machines: Inkling API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Thinking Machines: Inkling 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 Thinking Machines: Inkling 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 — 62% cheaper than OpenRouter's price for Thinking Machines: Inkling.
How do I pay for Thinking Machines: Inkling API usage?
Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 200+ other coins and your balance is deducted as you use the API. No credit card or KYC required.
What is the context window of Thinking Machines: Inkling?
Thinking Machines: Inkling supports a context window of 1.0M tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with Thinking Machines: Inkling?
You can use Thinking Machines: Inkling to 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 Thinking Machines: Inkling on Qubax?
Responses stream token by token. 26 providers serve it, so if one is slow or down the request moves to the next.
Thinking Machines: Inkling vs NVIDIA Nemotron 3 Ultra 550B: which should I choose?
Thinking Machines: Inkling by Kuaishou and NVIDIA Nemotron 3 Ultra 550B by Other are both strong models in a similar price tier. Thinking Machines: Inkling is well-suited for general-purpose language tasks. NVIDIA Nemotron 3 Ultra 550B comes from a different lab and may have different strengths depending on your workload. On Qubax, Thinking Machines: Inkling starts at $0.365/1M input tokens while NVIDIA Nemotron 3 Ultra 550B comes in at $0.216/1M, so NVIDIA Nemotron 3 Ultra 550B may be worth considering if you need to minimize per-token cost. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use Thinking Machines: Inkling for commercial projects?
Yes. Thinking Machines: Inkling 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 Thinking Machines: Inkling on Qubax?
63% cheaper
Providers compete on price — you get the cheapest healthy seller.
Pay with crypto
200+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.
OpenAI compatible
Drop-in base URL. Works with Cline, Cursor and any OpenAI SDK.