Jiekou AI
接口AI (Jiekou AI) aggregates 100+ flagship models from OpenAI, Anthropic, Google, DeepSeek, Qwen and others behind a single OpenAI-compatible endpoint. It covers text, image, audio, video, embedding and reranking tasks, plus a unified video generation API. Chinese mainland users get a direct base URL, official-resource discounts, enterprise SLA and Chinese-language documentation. Billing and keys live in one dashboard.
What is Jiekou AI?
接口AI (Jiekou AI) is an API aggregation platform that puts more than one hundred large language and multimodal models behind a single set of credentials. Instead of opening separate accounts with OpenAI, Anthropic, Google, DeepSeek, Alibaba and ByteDance, a developer signs in once, tops up a balance, and calls any model through an OpenAI-compatible endpoint. The vendor list shown on the homepage includes OpenAI, Anthropic, Google, DeepSeek, Qwen, MiniMax, MoonshotAI, Zai-org, Baidu, Mistral, Meta Llama, Grok, Xiaomi and Amazon, and the catalog is grouped by family so buyers can compare input, cached-read, cached-write and output rates side by side. Model counts per family run from 37 OpenAI entries and 26 Anthropic entries down to a single Amazon model.
The platform is built around breadth of task types rather than a single chat API. Text generation, image generation and editing, text-to-speech, voice cloning, speech-to-text, text-to-video, image-to-video and video-to-video all live under the same account, and Jiekou publishes a unified video generation interface that wraps models such as Sora 2, the Veo series, Wan, Seaweed, Kling, Hailuo and Seedream. Embedding and reranking endpoints round out retrieval pipelines, and the model catalog can be filtered by text, image, video, audio, embedding or reranking.
For teams in mainland China, the practical draw is reachability. The site announces a China-friendly direct Base URL at api.highwayapi.ai/openai while the original domain keeps serving, and the documentation is written in Chinese with a quick-start guide and a billing FAQ. Jiekou advertises Claude Code compatibility, prompt caching support, and native Claude and Gemini API behaviours, so existing SDKs and third-party tools need little or no rewiring.
The commercial model is pay-as-you-go per token. Rates are quoted in US dollars per million tokens, with separate lines for cached reads and cached writes. Listed input rates run from roughly $0.02 per million tokens for a small Llama model to $30 per million for a top-tier reasoning model, while output rates are several times higher. Distinct value-zone SKUs of popular models are listed at a discount, and the site promotes a special-offer resource-pack programme alongside a referral scheme that binds invite codes. Official-resource SKUs sit next to discounted reseller lines, which is worth reading carefully when picking a model for production.
Operationally, Jiekou claims 99.9% service availability and reports more than one million daily API calls across 100+ supported models. Support runs through email at support@jiekou.ai together with Telegram and QQ channels, and the ecosystem page lists integrations with DeepChat, LangBot, OpenManus, RAGFlow, DeepSearcher and ruoyi-ai. The site is Chinese-first, so English readers should expect some friction in documentation and support before they get to a working integration.
Jiekou AI Core Features
Single multi-model endpoint
One account and one OpenAI-compatible base URL route calls to OpenAI, Anthropic, Google, DeepSeek, Qwen, MiniMax, MoonshotAI and Baidu models.
Transparent per-token pricing
Every model lists input, cached-read, cached-write and output rates per million tokens so cost can be compared before integrating.
Value-zone and official-resource SKUs
Discounted variants of popular models sit beside vendor-priced official resources, with the cheaper line labelled in the pricing tables.
Unified video generation API
A single interface wraps Sora 2, Veo, Wan, Seaweed, Kling, Hailuo and Seedream for text-to-video, image-to-video and video-to-video work.
Multimodal coverage
Image generation and editing, text-to-speech, voice cloning, speech-to-text, embedding and reranking endpoints share one balance and key.
China-friendly direct access
A mainland direct Base URL is announced alongside the original domain, and the documentation, quick-start and billing FAQ are published in Chinese.
Native Claude and Gemini behaviour
Claude Code compatibility, prompt caching and native provider APIs are supported so existing tooling keeps working after a base URL change.
Ecosystem integrations
DeepChat, LangBot, OpenManus, RAGFlow, DeepSearcher and ruoyi-ai are listed as partners already connected to the platform.
Who is Jiekou AI for?
Jiekou AI is aimed at people who ship AI features and would rather buy model access than run infrastructure or juggle vendor accounts, especially when the team, the documentation and the support channel all operate in Chinese. Backend and full-stack engineers building LLM features are the primary audience. One key and one base URL replace separate OpenAI, Anthropic and Google accounts, and the model tables publish input, cached and output rates so a service can be costed before it ships. Developers who already have OpenAI or Anthropic SDK code can usually re-point a base URL rather than rewrite integration layers. Applied AI teams working on retrieval and agents are a second fit. Embedding and reranking endpoints, Claude Code compatibility and prompt caching support the patterns those teams already use, and products such as RAGFlow, LangBot, OpenManus and DeepSearcher are named as ecosystem partners already connected to the platform. Product teams that need more than chat also fit well. Text-to-image, image editing, text-to-speech, voice cloning, speech-to-text and video generation endpoints live under the same account, so a single integration covers a multimodal feature set instead of three vendors and three invoices. Teams producing marketing or product video can call the unified video generation interface that wraps Sora 2, Veo, Wan, Seaweed, Kling, Hailuo and Seedream. Indie developers and small AI SaaS teams often choose aggregators like this for cost control. Value-zone SKUs of expensive models are listed at steep discounts, and a resource-pack programme plus referral scheme are advertised on the homepage, which suits teams testing many models on a tight budget. Larger organisations evaluating vendors will care about the operational claims: 99.9% service availability, more than one hundred models, over a million calls a day, and a channel-partnership and consultation route for enterprise deals. Companies in mainland China matter most here, since the announced direct base URL at api.highwayapi.ai/openai addresses the connectivity problems that pushed many teams toward local aggregators in the first place. It is a weaker fit for anyone who needs English-first documentation, a documented free trial, or a single-vendor contract with a direct vendor relationship, and for workloads that must run on dedicated infrastructure rather than shared multi-tenant endpoints.
Jiekou AI Use Cases
Route one integration across OpenAI, Claude, Gemini and Qwen models without opening vendor accounts.
Compare per-million-token input, cached and output costs across seventeen model families before committing.
Generate product videos from text prompts or still images through a unified video generation interface.
Add speech-to-text, voice cloning or text-to-speech to an application through a single API key.
Build retrieval pipelines with embedding and reranking endpoints from the same account and balance.
Cut spend on high-volume Claude or GPT workloads using discounted value-zone model lines.
Reach OpenAI and Claude endpoints from mainland China through the announced domestic direct base URL.
Connect the platform to tools such as RAGFlow, LangBot or OpenManus already listed as partners.
Jiekou AI Pros and Cons
Pros
- Very wide catalog: more than one hundred models across seventeen vendors, including several top-tier video and image generation families.
- Clear cost surface: input, cached and output prices per million tokens are published per model, and discounted value-zone lines are labelled.
- Practical for China-based teams: a mainland direct base URL is announced, with Chinese documentation, quick-start and billing FAQ.
- Multimodal under one key: text, image, audio, video, embedding and reranking endpoints share a single account and balance.
- Ecosystem traction: named integrations with DeepChat, LangBot, RAGFlow and peers, plus 99.9% availability and over a million daily calls claimed.
Cons
- English documentation is thin: the rendered site and docs are Chinese-first, so non-Chinese readers may struggle before contacting support.
- No free tier or trial was visible in the rendered pages, and the resource-pack terms were not captured, so first evaluation requires a paid top-up.
- Model naming mixes official-resource and discounted value-zone SKUs with overlapping names, which can confuse buyers about which rate applies.
FAQ About Jiekou AI
Jiekou AI Pricing
Jiekou AI bills pay-as-you-go per token in US dollars, with listed input rates from about $0.02 per million tokens for a small Llama model up to $30 per million for a top reasoning model, plus separate cached-read and cached-write lines and a discounted value-zone range, while the advertised resource-pack programme and any CNY credit pricing were not captured in the rendered pages.
Check official pricingPay-as-you-go (official resources)
Standard token billing at vendor list rates, with separate lines for input, cached reads, cached writes and output per million tokens.
Value zone models
Discounted variants of models such as Claude Opus, Claude Sonnet and the GPT Terra lines, labelled Value zone in the pricing tables.
Resource packs
The homepage promotes a special-offer resource-pack programme at jiekou.ai/resource-pack; that page was not captured, so pack sizes and any CNY prices could not be verified.
Enterprise and channel partners
Enterprise and channel-partnership enquiries are invited through the site contact entry, backed by a claimed 99.9% service availability figure.
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