Profundo
Profundo AI · Writing · Leaning · Business · Other
Profundo AI sells flat-rate access to frontier models from OpenAI, Anthropic, Moonshot, Zhipu, DeepSeek and Alibaba through one OpenAI-compatible API. You pay per plan, not per token.
About Profundo
What Is Profundo AI
Profundo AI is a flat-rate LLM API service that bundles models from six labs behind one endpoint and one monthly price. You point an OpenAI-style client at api.profundoai.com, paste a key, and pick a model by its ID string. The meter that usually decides your bill, token count, isn't part of the deal.
The appeal is arithmetic. Token pricing punishes long prompts, retries, and agents that loop through twenty steps before they answer. A flat plan turns that into a fixed line item. An LLM API subscription here buys access rather than tokens. On the Plus plan you get 250 requests a day for $10 a month, so a side project with steady traffic costs less than a coffee a week.
The trade is control. Profundo publishes no SLA and no guarantee of throughput, uptime, concurrency, or model availability. Every model in the catalog is text only. There's no image input, no audio, no embeddings, no fine-tuning, no batch endpoint. If your product needs any of those, you keep a second provider for them.
One more thing worth knowing before you sign up: your account, billing, and support run through Profundo, not through Anthropic or OpenAI. A plan is not a direct contract with the labs whose models you call.
Getting Started
- Sign up with an email address and verify it. There's no waitlist and no invitation needed to create a profile.
- Choose a plan and pay through Stripe. Plus starts at $5 for the first month, then $10.
- Copy your API key from the dashboard. It's revealed once, so store it somewhere safe.
- Send a request to
https://api.profundoai.com/v1/chat/completionswith any model ID from the catalog, or use the Responses API instead.
Product Information
A quick look at Profundo's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Indie developers and solo builders
- Agent developers running long loops
- Teams comparing frontier models
Tasks
- Prototyping an agent before you commit to a vendor
- Moving a side project off per-token billing
- Bulk drafting and summarizing where prompt length varies
- Running a coding assistant on a fixed budget
Scenarios
- A weekend build that might grow
- A 24/7 automation that polls and answers all day
- Evaluating Claude API access and GPT API access side by side
Key features
Flat-Rate Pricing With No Token Meter
Every plan includes the whole catalog, and none of them count tokens. What's capped is requests: 250 a day on Plus, 2,000 a day on Priority, unlimited on Founder and Performance, where unlimited LLM requests come with a 100 requests per minute ceiling. For anyone who's watched a long-context job eat a month's budget in an afternoon, that's the whole pitch.
One OpenAI-Compatible Endpoint for Every Model
The API speaks Chat Completions and the Responses API, with native tool calling, parallel tool calls, structured output through response_format, streaming, and adjustable reasoning effort. An existing OpenAI SDK setup usually needs a new base URL and a new key. Nothing else changes.
A Catalog Spanning Six Model Providers
The list covers five Claude models including Opus 5 and Fable 5.1, six GPT models up to GPT 6 Astra, Kimi K3 and K2.7 Code, three GLM models, three DeepSeek models, and Qwen 3.8 Max and Flash. Context windows run from 128K to 256K tokens depending on the model. It's one multi-model API rather than a single house model with a wrapper.
Request Caps You Can Actually Plan Around
Because the limit is requests per day, not dollars, forecasting is simple: count calls, not characters. The flip side is real. A workflow that sends 100K-token prompts all day can trip fair-use and abuse-prevention controls even while staying under the request number.
Model Switching Without New Billing
Changing models means changing one string in the payload. That makes A/B tests cheap, and it lets you route easy jobs to DeepSeek V4.1 Flash and hard ones to GPT 6 Astra from the same code path. No new contract, no new invoice.
Billing Through Stripe With Cancel Anytime
Checkout and cancellations run through Stripe's hosted pages and customer portal. Cancelling stops renewal at the end of the current period; access runs to the end. Yearly billing takes 10% off every plan, and switching from monthly to yearly applies at your next renewal.
Pros and cons
Pros
- One subscription covers Claude, GPT, Kimi, GLM, DeepSeek, and Qwen, which removes most of the vendor-signup overhead from model testing.
- Costs stay flat no matter how long your prompts get, so long-context work and retry-heavy agents don't blow up the bill.
- The OpenAI-compatible surface means an existing SDK integration migrates in minutes, usually by editing the base URL.
- Entry price is low: $10 a month for 250 requests a day is enough for a prototype or a small internal tool.
- Yearly billing and locked-in founder pricing give you a way to cap AI API pricing for a longer stretch.
Cons
- Text only. No embeddings, image input, audio, transcription, or fine-tuning means a RAG or multimodal product still needs a second provider.
- Request caps ignore prompt size, so the same 250 daily calls can be trivial or heavy depending on what you send, and fair-use controls can cut in before the cap.
- No SLA, no uptime promise, no concurrency guarantee, and no model availability guarantee, which rules it out for anything with a contractual reliability clause.
- Keys are shown once. Lose one and you have to reauthenticate and rotate, which means updating every deployment that used the old key.
Frequently asked questions
It's a subscription API gateway. You pay a monthly fee, get a key, and call models from Anthropic, OpenAI, Moonshot AI, Zhipu AI, DeepSeek, and Alibaba through one OpenAI-compatible endpoint, without per-token charges.
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