Open-Source AI Models via One API

Important distinction

KimiSeek is an API platform, not an open-source AI project. We provide a single API for models; the model publisher controls its weights and licence. “Open-weight” does not automatically mean OSI open source, commercially unrestricted or safe for every use case.

Open-source AI vs open weights

The phrase “open-source AI” is often used loosely. The practical questions are: can you obtain the weights, what does the licence allow, and can you reproduce the system with available code and data?

TermWhat it usually meansWhat to verify

Open weightsTrained parameters are publishedLicence, commercial use, redistribution, acceptable-use policy

Open sourceSource code under an open licenceOSI-approved licence, build and training reproducibility

Open APIAccess through a hosted endpointPrice, data handling, rate limits, model versioning

What to check before choosing a model

Licence — commercial use, derivatives, attribution and restrictionsContext and output limits — fit the task, not just the benchmark scoreTotal cost — input, output, cache, peak/off-peak and retriesData handling — retention, residency and provider policyOperational burden — GPUs, serving, scaling, monitoring and upgrades

Self-hosting vs API access

An API is usually the faster path for prototypes, unpredictable traffic and small teams. Self-hosting can be attractive at sustained high utilization or when data cannot leave your infrastructure, but the GPU and MLOps costs are often underestimated.

ConsiderationSelf-host open weightsKimiSeek API

Time to first requestHours to weeksMinutes

Marginal costGPU capacity, even when idlePay per token

ControlFull infrastructure controlHosted model access

Best forSteady high load, custom servingProduct teams and variable traffic

Access models through one compatible API

KimiSeek exposes an OpenAI-compatible endpoint at https://api.kimiseek.app/v1. Use one key, select the model in the request, and keep the same SDK code when moving between providers.

Python · OpenAI SDK

from openai import OpenAI

client = OpenAI(
    api_key="ks-your-key",
    base_url="https://api.kimiseek.app/v1",
)

response = client.chat.completions.create(
    model="qwen3.7-plus",
    messages=[{"role": "user", "content": "Hello"}],
)

Which open-weight models are available?

Model availability and licensing change. The model catalog lists the current models, context limits and CNY pricing. Check each model page and the publisher’s licence before assuming that a model is open weights or suitable for commercial use.

Need to compare models?

Start with the catalog, then use the pricing page for exact input/output costs.

Explore models

Frequently asked questions

Is KimiSeek an open-source AI project?

No. KimiSeek is an API platform. We provide access to models, including open-weight options where the model and provider license allow it. We do not claim to be the maintainer of those models.

Is open source AI the same as open weights?

No. Open weights means the trained parameters are published, but the license can still restrict commercial use, redistribution or derivative models. Open source usually refers to source code under an OSI-approved license. Check the model card and license before relying on either label.

Can I self-host an open-weight model instead?

Yes, when the license permits it. Self-hosting requires GPU capacity, inference serving, scaling, monitoring and model updates. An API is usually cheaper for prototypes and variable traffic; self-hosting can make sense at sustained high utilization or strict data-residency requirements.

Are Chinese open-weight models available through KimiSeek?

Availability changes as providers release models. Check the model catalog and each model page for the current model identifier, pricing and limits. Open-weight status and license terms must be verified with the model publisher.