ModelHub API
Summary
Getting API access to Chinese frontier models without a Chinese phone number, a Chinese bank card, or a VPN that works only on even-numbered Tuesdays is its own sprint — ModelHub exists to cut that sprint to two minutes.
ModelHub is a hosted API gateway that puts 45 Chinese and global LLMs — DeepSeek V4, Qwen 3, GLM-4, Doubao, Kimi — behind a single OpenAI-compatible endpoint. You swap your base_url, keep your existing SDK, and your token bill drops. The vendor states prompts are never stored and payments run through Paddle under PCI Level 1 certification. The ceiling appears fast: no self-hosted option, no agentic tooling, no fine-tuning surface. Teams that need dedicated infrastructure or low-latency SLAs will exhaust what the service offers and contact the Enterprise tier — or leave.
Bottom line: Pick ModelHub when you need GPT-4-class reasoning at budget-API prices and can accept a shared cloud endpoint; plan a different architecture when your production SLA requires dedicated infra, sub-100ms p99 latency, or on-premise data residency.
Pricing Plans
SubscriptionLast verified 2 days ago- Price
- $15/month
- Free Tier
- $5 free credits during public beta, no credit card required
Free
New users receive $5 free credits during public beta
- No credit card required
Starter
Perfect for indie developers. First month: +20M free tokens
- 60M tokens/month
- DeepSeek V4 Flash
- 1 API key
- Standard rate limits
- OpenAI-compatible API
Pro
For teams that need more firepower. First month: +50M free tokens
- 280M tokens/month
- DeepSeek V4 Flash
- 5 API keys + team management
- High rate limits
- Usage analytics dashboard
- Priority support
View full pricing on modelhub-api.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- OpenAI SDK compatibility via a base_url swap, so existing codebases require no refactoring and teams avoid the integration cost of adopting a net-new client library.
- Per-token pricing on DeepSeek V4 Flash starting at $0.15/M tokens, which means high-volume workloads — batch summarization, large-scale code generation — that would exhaust an OpenAI budget stay economically viable.
- No Chinese phone number or regional payment method required, so international developers who hit identity-verification blocks on direct Chinese model APIs can provision access in minutes.
- Prompts are never stored and never used for model training, according to the vendor, so teams with baseline data-handling policies avoid the contractual exposure that comes with providers who retain inference data.
- 45 models behind one key, so switching from DeepSeek to Qwen or Doubao for a specific task is a model-name change in the request body — not a new vendor contract, new SDK, or new auth flow.
Cons
Sign in to edit- No self-hosted or on-premise deployment option exists. Teams under data-residency mandates that prohibit routing prompts through third-party cloud infrastructure cannot use ModelHub at all — those teams go directly to self-hostable model weights via Ollama or a private cloud deployment.
- The service provides chat completion inference only, with no built-in tool-use framework or agent runtime. Teams building multi-step agents that branch based on tool output must wire a separate orchestration layer — LangChain, LlamaIndex, or equivalent — on top of ModelHub, meaning they are maintaining two systems from the first agent they ship.
- Latency is shared-infrastructure latency with no published p99 SLA outside the Enterprise tier. Production applications where response time is a user-experience constraint — real-time voice, interactive copilots — will hit unpredictable queuing during demand spikes and have no contractual recourse short of negotiating an Enterprise deal.
- The full model catalog and multiple API keys are gated behind paid tiers; the free credit covers evaluation only. Teams that prototype on free credit and then need concurrent key distribution for a multi-service architecture face a hard paywall before they finish scoping the project.
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About
- Platforms
- Web, CLI, API, OpenAI-compatible SDK
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-09T09:01:29.109Z
Best For
Who it's for
- Developers prioritizing cost efficiency over latency
- Teams building globally accessible AI features
- Startups and researchers with limited budgets
- Companies requiring OpenAI SDK compatibility
- Organizations needing privacy-respecting inference (no prompt storage)
What it does well
- Cost-conscious development requiring GPT-4-class reasoning and code generation
- Multi-language applications leveraging Chinese LLM strengths
- High-volume token consumption with budget constraints
- API-first applications requiring seamless model switching
- Global teams avoiding regional payment or phone verification barriers
Integrations
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Frequently Asked Questions
- Is ModelHub API free?
- ModelHub API is a paid tool ($15/month). No permanent free tier is offered.
- Is ModelHub API open source?
- No — ModelHub API is a closed-source tool. Source code is not publicly available.
- Does ModelHub API have an API?
- Yes. ModelHub API exposes a developer API. See the official documentation at https://modelhub-api.com for details.
- What platforms does ModelHub API support?
- ModelHub API is available on: Web, CLI, API, OpenAI-compatible SDK.
Hours Saved & ROI Stories Community
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Curated lists that include this category
ModelHub is a commercial API proxy service that aggregates 45 Chinese AI models under a single OpenAI-compatible API key. The core workflow is a two-line code change: point your OpenAI SDK’s base_url at ModelHub’s endpoint and swap your API key. From there you call DeepSeek V4, Qwen 3, GLM-4, Doubao, Kimi, and dozens of others through the same chat completions interface you already use. No new SDK to learn, no per-model authentication to manage. The vendor states the service is operational at 99.9% uptime and has served over 100 billion tokens.
The differentiating feature is access without Chinese registration friction. The vendor markets this explicitly: email signup, global payment via Visa, Mastercard, or PayPal, no Chinese phone number required. For international developers and teams who have tried to provision DeepSeek or Doubao accounts directly and hit identity-verification walls, this is the gap ModelHub fills. Third-party Chatbot Arena benchmarks cited by the vendor show DeepSeek V4 trailing GPT-5.5 by four to six Elo points across reasoning, coding, and math — with math parity — at a fraction of the token cost.
ModelHub fits a specific slot: high-volume inference where cost matters more than latency guarantees, and where OpenAI SDK compatibility means zero migration overhead. It breaks predictably at the edges. There is no self-hosted deployment path, so teams with data-residency requirements that prohibit third-party cloud routing cannot use this service. The platform is not agentic — it provides chat completion inference only, with no built-in tool-use framework, so teams building agents that run tasks on their own will need a separate orchestration layer. Enterprise pricing exists but requires a direct sales conversation; teams expecting a self-serve path to dedicated infra will not find one.
Technically, integration is an environment variable swap: set OPENAI_API_KEY to your ModelHub key and OPENAI_BASE_URL to https://api.modelhub-api.com/v1. The vendor provides curl examples for Mac/Linux and PowerShell for Windows. A web chat interface is available for non-developer evaluation. Paid tiers gate the full model catalog and additional API keys; the entry tier covers DeepSeek V4 Flash with a single key.