Blackbox AI

What is Blackbox AI?

Blackbox AI is an inference platform that exposes more than 300 open and closed models from 36+ labs behind a single OpenAI-compatible endpoint, the Blackbox Router. Requests are routed with failover and caching, every connection is described as end-to-end encrypted, and the gateway applies zero data retention and no training on routed traffic wherever the provider allows it. Open-weight models can also run as single-tenant dedicated deployments isolated to one customer. Engineering teams reach it through an API, a CLI and an Agents API for cloud coding agents, and organisations manage keys, credits, members and access policies from an enterprise dashboard. Billing is per token, listed per 1M input, output and cached-read tokens, with no platform fee, no markup and no seats. The pricing page offers one Enterprise plan sized by an annual committed spend, with larger commitments earning bigger discounts and a forward-deployed engineer included at no extra cost.

Use cases

• Call 300+ models through one endpoint
• Run open-weight models on dedicated deployments
• Route and fail over between model providers
• Cut token spend with annual commitments
• Run cloud coding agents through an API
• Control which team members can run inference
• Strip PII before requests reach closed models

Who it's for

• Engineering teams
• Enterprise IT and security teams
• AI platform teams
• Developers

Why use Blackbox AI

• One endpoint and one bill cover open and closed models, which avoids separate provider integrations.
• Per-token metering without seat fees or platform fees keeps costs tied to usage.
• Committed spend lowers the per-token rate, with a bigger discount on open-weight models.
• Dedicated single-tenant deployments and data residency suit teams with strict security reviews.
• A forward-deployed engineer helps with migration, integrations and latency tuning at no added cost.

Blackbox AI features

• 300+ models behind one OpenAI-compatible endpoint
• Smart routing, failover and prompt caching
• End-to-end encryption on every connection
• Dedicated single-tenant deployment for open-weight models
• Zero data retention and no training on routed traffic
• PII removed before requests go to closed models
• SAML SSO, SCIM, RBAC and audit logs
• Agents API for cloud coding agents and a CLI
• Organisation dashboard with API keys, credits and usage filters
• Allowlist or blocklist access policy for members
• Option to route through your own OpenAI, Anthropic or Google accounts

Blackbox AI integrations

• OpenAI
• Anthropic
• Google

How to get started with Blackbox AI

1. Talk to sales to scope the workload, the volume and the security controls you need.
2. Agree an annual commitment that is drawn down as your teams use tokens.
3. A forward-deployed engineer configures the account, including options such as PII removal.
4. Create an organisation in the dashboard, issue API keys and invite members with Member or Admin roles.
5. Send requests to the enterprise chat completions endpoint and watch the balance and usage in the dashboard.

Blackbox AI limitations

• The pricing page lists an Enterprise plan only, sized with sales
• Unused committed spend expires at the end of the billing period
• Retention and training flags depend on what each provider API supports
• Rack-rate token prices change by model, so check the models page

Blackbox AI pricing

Blackbox AI is sold on custom quotes, so its prices aren't published. Paid plans start at $0.05 usage-based, according to the official pricing page on 24 Oct 2026.

Blackbox AI plans

• Enterprise

  Custom

  Annual commitment, PO burn-down

  • Dedicated forward-deployed engineer
  • Implementation included at $0
  • Single-tenant deployment and data residency
  • SAML SSO, SCIM, RBAC and audit logs
  • Zero data retention under contract
  • Custom SLAs and volume discounts

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Blackbox AI alternatives

The main Blackbox AI alternatives listed on Debuly are OpenRouter, Together AI, Fireworks AI, Groq, Baseten and Orq.ai. The table compares pricing and platforms; order is A–Z.

1. 

   Baseten

   Inference platform for deploying open-source, custom and fine-tuned AI models, with per-token Model APIs and dedicated GPUs.

   Developer platforms
   PaidVisit Baseten (official site)
2. 

   Fireworks AI

   Inference and training platform for open models: pay-per-token serverless APIs, GPU deployments, fine-tuning and reserved capacity.

   Developer platformsCodingAutomation and agents
   PaidVisit Fireworks AI (official site)
3. 

   Groq

   GroqCloud inference API that serves open models such as GPT-OSS and Whisper on Groq's LPU hardware, billed per token.

   Developer platformsAudio and voiceCoding
   FreemiumVisit Groq (official site)
4. 

   OpenRouter

   Unified OpenAI-compatible API for 500+ AI models with provider fallbacks, pay-as-you-go credits and a free tier

   Developer platformsChat assistantsAutomation and agents
   FreemiumVisit OpenRouter (official site)
5. 

   Orq.ai

   AI gateway and control layer that routes requests to 500+ models, with observability, guardrails, budgets and an MCP Gateway.

   Developer platformsAutomation and agents
   FreemiumVisit Orq.ai (official site)
6. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)

Blackbox AI FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from blackbox.ai · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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