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BLACKBOX AI

BLACKBOX AI review

Fast, encrypted AI inference across 300+ models — one endpoint, zero data retention.

By Ciroapp Editorial Team · Updated Sep 9, 2026
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At a glance

Quick overview for BLACKBOX AI: rating, pricing summary, key features, and highlights.
Vendor page checked Oct 13, 2026

Ciroapp score

4.0/ 5

BLACKBOX AI pairs independently measured top speeds with privacy that's enforced at the gateway, not just promised in a policy. The trade-off: there's no self-serve trial, unused tokens expire, and getting started takes a sales conversation. Overall, it's a strong pick for production teams handling sensitive data, while lighter users should look elsewhere.

Pros

  • Pros:Independently verified throughput — Artificial Analysis measured 454 tokens per second on Nemotron 3 Ultra, ranking Blackbox #1 among providers and 30% faster than the next competitor.
  • Pros:Privacy is enforced at the gateway, not just promised — end-to-end encryption, zero data retention, and training opt-out are on by default, with PII removed before prompts reach closed models on Enterprise.
  • Pros:One OpenAI-compatible endpoint covers 300+ hosted models, so migrating means changing the base URL rather than rewriting application code.

Cons

  • Cons:There is no self-serve trial or published refund policy — engagements start with a sales conversation, so trial and cancellation terms must be negotiated into the contract.
  • Cons:Unused tokens expire at the end of the billing period, so teams that overestimate their commit lose money unless they size it around minimum usage.
  • Cons:Pricing runs on per-token enterprise commits where the best rates require higher spend, making it a poor fit for light or hobbyist users.
Best for
  • Engineering teams running AI features in production
  • Companies handling sensitive prompts, PII, or proprietary code
  • Teams juggling multiple model vendors, keys, and invoices
This section is a summary. Detailed sections about features, use cases, pricing, and reviews follow below.

What is BLACKBOX AI?

Sending sensitive prompts to AI providers and wondering where that data ends up? Blackbox AI runs inference with end-to-end encryption and zero data retention across 300+ models. You get one endpoint for your whole stack, independently measured top speeds, and prices well below closed labs.

Blackbox AI is an enterprise inference platform. It hosts open-weight models like Nemotron 3 Ultra on dedicated, single-tenant GPUs, and its router connects you to 300+ models through one OpenAI-compatible endpoint. Every connection is end-to-end encrypted, and the gateway enforces zero data retention.

It's built for engineering teams and companies running AI in production who can't risk leaking prompts, customer data, or code.

Should you choose BLACKBOX AI?

Quick buyer guidance before you compare plans or click through.

Choose it if

  • You need verified throughput — Artificial Analysis ranks Blackbox #1 at 454 t/s on Nemotron 3 Ultra
  • Zero data retention and encryption are enforced at the gateway, not just promised in a policy
  • One key and one bill cover 300+ hosted models
  • Open-weight models run single-tenant on Blackbox's own GPUs, isolated from other customers
  • Enterprise plans remove PII before prompts reach closed models

Skip it if

  • Pricing runs on per-token Enterprise commits, and the best rates come with higher spend — light users may not see the headline savings
  • No visible self-serve trial or refund terms appear on the site, so confirm commercial terms before you commit
  • Some contract details, like no human review, are negotiated per contract rather than published upfront
  • This is an inference API platform, not a consumer chat app — hobbyists wanting a simple assistant should look elsewhere
  • If you depend on provider-specific features of closed models, routed access through the gateway may not replicate them

Next steps before buying

  1. 1Read the docs at docs.blackbox.ai to confirm the endpoint, SDKs, and models fit your stack
  2. 2List the models you use today and check they're covered by the 300+ hosted options
  3. 3Estimate your monthly token volume — commits are per-token and rates improve with spend
  4. 4Compare Blackbox's 2.7× cost claim against your current provider's invoice
  5. 5Review the security overview, then clarify retention, human-review, and SSO terms before signing

Ease of use

For developers already on OpenAI-style APIs, setup looks easy: swap the base URL, keep your code, and start calling 300+ models. The site shows a three-line curl example and links to full docs. Enterprise touches — dedicated deployments, SSO, per-token commits — suggest a contract or sales step, so bigger rollouts need more coordination than a typical self-serve signup.

BLACKBOX AI Key Features

⚡ One Endpoint, 300+ Models

One endpoint for your whole stack. The Blackbox Router connects you to 300+ hosted models through a single OpenAI-compatible endpoint — change the base URL, keep your code. Prompt caching and cost-aware routing come built in, and every connection is end-to-end encrypted.

✨ Verified Top Speed on Dedicated GPUs

Speed you can check yourself. Artificial Analysis measured 454 tokens per second on Nemotron 3 Ultra — #1 of all providers, 30% faster than the next, at 2.7× lower cost. Under the hood, Enterprise Inference runs your chosen open-weight model on dedicated, single-tenant GPUs reserved only for you.

✨ Privacy Enforced at the Gateway

Privacy isn't a policy here — it's enforced. The gateway applies zero data retention and training opt-out by default. On Enterprise, PII is removed before prompts reach a closed model.

For routed traffic, retention and training are suppressed through provider terms and per-request flags where the provider API supports it.

🧩 Agent Tooling That Shares One Commit

One commit covers your whole organization. The Agents API, VS Code extension, and CLI share the same per-token balance, so every surface bills once and signs in once with SSO.

  • Works with every agent harness
  • SSO sign-in on every surface
  • One commit covers the organization

Use Cases

🔁 Switch providers without rewriting your app

You're live on another AI provider, but speed and cost aren't cutting it. Swap the base URL to Blackbox, keep your code, and route across 300+ models. Expected outcome: your production calls keep working, just pointed at one new endpoint.

Tip: Start with your noisiest endpoint first.

🔒 Handle sensitive prompts with confidence

Your product touches customer PII or proprietary code. Run open-weight models on a single-tenant deployment, or let Enterprise strip PII before prompts reach closed models. Zero data retention is enforced at the gateway, so you're not relying on a policy page.

🧾 One key and one bill for the whole team

You're juggling provider accounts, keys, and invoices. Blackbox puts 300+ models under one commit, one dashboard, and SSO sign-in across the CLI, VS Code extension, and Agents API. Spend alerts fire at 75% and 90%, so balances never surprise anyone.

⚡ Stretch your token budget further

You need frontier speed without closed-lab prices. Prompt caching and cost-aware routing stretch your commit by 10–20%. Open-weight models carry the biggest discounts, and rates improve as spend grows.

Expected outcome: more output from the same commit, backed by verified 454 t/s speeds.

BLACKBOX AI pricing

  • 2 plans

Prices not verified yet — see the vendor page.

BLACKBOX AI's pricing page

BLACKBOX AI pricing page screenshotView pricing page screenshot
PlanBilled monthlyBilled annuallyIncludes
Enterprise
See vendor page
See vendor page
Custom contract sized with your team. Includes dedicated forward-deployed engineer (implementation $0), dedicated single-tenant deployment, data residency, SAML SSO/SCIM/RBAC, zero data retention, guaranteed TPM, custom SLAs. Rate improves as committed spend grows.
Per-model token rates (examples)
$0.30–$3.00 input / $1.20–$15.00 output per 1M tokens per 1M tokens
—
Billed per 1M tokens for input, output, and cache reads separately. Examples: moonshotai kimi-k3 $3.00/$15.00/$0.30; zai glm-5.3 $1.40/$4.40/$0.14; alibaba qwen3.8-max $2.00/$6.00/$0.25; deepseek-v4.1-flash $0.30/$1.20/$0.007; deepseek-v4-pro-0813 $0.66/$1.98/$0.07; tencent hy4-preview $0.83/$2.50/$0.04. Blended $0.44/1M on Nemotron 3 Ultra.

Price history

Tracking prices since Sep 9, 2026. No price change detected yet.

Pricing range: Custom — per-token commit pricing (contact sales)

Pricing types: Usage-based pricing

Pricing notes

BLACKBOX AI uses per-token pricing with a single Enterprise plan based on committed annual spend (PO burn-down), with no platform fees, markups, or seats. Discounts improve with commitment size (−5%+ for closed models, −10%+ for open models), with per-model list rates published per 1M tokens.

BLACKBOX AI uses commit-based pricing: you buy a token volume up front, your balance drops as teams use it, and every token is metered at published per-model rates — with no platform fee and no per-seat charge.

Here's a closer look at how the model works and what each option includes.

Enterprise Commit

Best For: Teams and enterprises that want committed discounts, dedicated single-tenant deployments, data residency, and custom contracts Other Features:

  • One balance covers Enterprise Inference, the Blackbox Router, the API, the CLI, the Agents API, and the VS Code extension
  • Spend alerts at 75% and 90% of your commit, so nothing expires without warning
  • Intelligent routing and prompt caching stretch the same commit 10–20%, even on closed models
  • Forward-deployed engineer included at no added cost, plus end-to-end encryption, PII anonymization, and custom SLAs
  • Commits are sized so a director or VP can sign without an approval chain, then expand

This tier is built for organizations, not solo tinkerers. You watch your balance in real time in the dashboard, and an engineer configures the account with you at contract start. That covers migration from your current provider, production integrations, eval harnesses, and latency tuning. If your team runs steady AI volume across many tools, one shared commit keeps billing refreshingly simple. 🧩

Bring Your Own Provider

Other Features:

  • Connect your existing OpenAI, Anthropic, or Google accounts
  • Usage bills through your provider at your negotiated rates
  • Routing, failover, caching, and the dashboard all stay available

Already happy with a provider relationship? You can route through your own accounts and keep your negotiated rates. Blackbox still supplies the routing, failover, caching, and dashboard, so you keep the same tooling while usage bills through your provider.

A few practical notes before you commit. Unused tokens expire at the end of the billing period, so it's smart to size your commit around minimum usage. Open-weight models carry the biggest discounts because Blackbox runs them end to end, while closed models route to their providers at passed-through scale rates. Confirm exact per-model rates and commit size with sales before signing, since pricing shifts by model and volume.

Getting started is a conversation, not a checkout page. You scope the workload and volume with the team, agree a commit, and a forward-deployed engineer sets everything up — including controls like PII removal if your security review requires them. Head to the contact page to kick things off.

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Why use BLACKBOX AI?

Speed, privacy, and price usually pull in different directions. Blackbox AI claims all three, and it publishes independent benchmarks to back up the speed claim.

Here's what stands out:

  • Independently verified speed. Artificial Analysis measured 454 tokens per second on Nemotron 3 Ultra — ranked #1 of all providers, and 30% faster than the next one.
  • Lower cost per token. Blackbox says it charges 2.7× less than the #2 provider, with per-token commits and rates that improve as your spend grows.
  • Privacy enforced at the gateway. End-to-end encryption, zero data retention, and training opt-out on by default — you don't have to hunt for settings.
  • A painless switch. The endpoint is OpenAI-compatible. Change the base URL, keep your code, and route across 300+ models.
  • One bill for everything. One key, one dashboard, plus prompt caching and cost-aware routing built in.
  • Team-ready tooling. The Agents API, VS Code extension, and CLI all run under one organizational commit with SSO sign-in.

If data control and throughput sit at the top of your checklist, this platform is built for exactly that.

Try it nowView pricing

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BLACKBOX AI FAQ

How hard is it to migrate from my current AI provider?

It's a small change. The endpoint is OpenAI-compatible, so you swap the base URL and keep your code. A forward-deployed engineer also handles migration, integrations, and latency tuning at no added cost.

What happens if my team doesn't use all the tokens in a commit?

Unused tokens expire at the end of the billing period. You'll get spend alerts at 75% and 90%, so size your commit around minimum usage to avoid waste.

Is there a free trial or refund policy?

No self-serve trial or refund terms appear on the site. Engagements start with a sales conversation, so confirm trial, refund, and cancellation terms in your contract before signing.

How does Blackbox protect my data when using closed models?

Every connection is end-to-end encrypted with zero data retention, and training opt-out is on by default. On Enterprise, PII is removed before prompts reach a closed model.

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