Context
1M
Input
$3
Output
$15
Cache Read
$0.3
Cache Write
—
FAQ
Yes. Use the same SDK and request format you already know — just swap the base URL and API key. Supports /v1/chat/completions, /v1/embeddings, and /v1/images/generations with full streaming, function calling, JSON mode, and vision inputs.
The API includes frontier and open-source models such as Claude Opus-4.6, GPT-5.2, Gemini-3, Grok-4, Llama 4, Mistral, DeepSeek, and Qwen from leading providers. New models are added continuously as they launch.
Pay per token with no per-seat fees. The free tier includes unlimited agent requests on Minimax-M2.5. Pro starts at $10/mo with $20 in credits, Pro Plus at $20/mo with $40 in credits, and Pro Max at $40/mo with $80 in credits. Enterprise volume discounts are available.
Yes. Full SSE streaming support is available across all chat completion models. Response format matches the OpenAI spec exactly, so existing streaming implementations work without modification.
Infrastructure uses TLS 1.3 encryption in transit and AES-256 at rest. Enterprise plans add end-to-end encryption with zero-knowledge architecture, RBAC with SSO (Okta, Azure AD, Google Workspace), and comprehensive audit logging.
The API provides a 99.9% uptime SLA with sub-200ms median latency. Automatic fallback routing ensures availability even when individual providers experience outages, and smart load balancing optimizes for the lowest latency.
Yes. The API is fully compatible with the official OpenAI Python and Node.js SDKs, as well as LangChain, LlamaIndex, and other popular frameworks. Migration takes under 5 minutes — just change the base URL.
Related reading
Blackbox is the orchestration layer for coding agents — unifying the best open- and closed-source models behind one secure, cost-efficient interface. Here is why Nemotron has become a cornerstone of the platform: frontier American open weights, 20–30× cheaper than closed-source, behind end-to-end encrypted inference, and 420.2 tok/s of concurrency-1 output.
Read article →ArticleEnd-to-end encrypted LLM inference with hardware attestation, at $0.45 per million output tokens — 22× cheaper than GPT-4o, with confidentiality guarantees TLS alone can't provide.
Read article →Join 30M+ developers building with BLACKBOX AI.
Models
Context
1M
Input
$3
Output
$15
Cache Read
$0.3
Cache Write
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Context
256K
Input
$1
Output
$4.05
Cache Read
$0.17
Cache Write
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—
Input
—
Output
—
Cache Read
—
Cache Write
—
Context
256K
Input
$0.15
Output
$0.6
Cache Read
$0.03
Cache Write
—
Context
256K
Input
$0.74
Output
$2.96
Cache Read
$0.15
Cache Write
—
Context
1.0M
Input
$1.25
Output
$4.25
Cache Read
$0.15
Cache Write
—
Context
1.1M
Input
$1
Output
$6
Cache Read
$0.1
Cache Write
$1.25
Context
1.1M
Input
$5
Output
$30
Cache Read
$0.5
Cache Write
$6.25
Context
1.1M
Input
$2.50
Output
$15
Cache Read
$0.25
Cache Write
$3.13
Context
128K
Input
$4
Output
$24
Cache Read
$0.4
Cache Write
—
Context
500K
Input
$2
Output
$6
Cache Read
$0.5
Cache Write
—
Context
1M
Input
$10
Output
$50
Cache Read
$1
Cache Write
$12.50
Context
65.5K
Input
$0.25
Output
$1.50
Cache Read
$0.03
Cache Write
—
Context
1M
Input
$1.50
Output
$9
Cache Read
—
Cache Write
—
Context
1M
Input
$2
Output
$10
Cache Read
$0.2
Cache Write
$2.50
Context
1M
Input
$2.10
Output
$6.60
Cache Read
$0.21
Cache Write
—
Context
—
Input
—
Output
—
Cache Read
—
Cache Write
—
Context
1M
Input
$5
Output
$30
Cache Read
$0.5
Cache Write
—
Context
1.0M
Input
$1.40
Output
$4.40
Cache Read
$0.26
Cache Write
—
Context
1.0M
Input
$1.40
Output
$4.40
Cache Read
$0.26
Cache Write
—
Context
262.1K
Input
$1.90
Output
$8
Cache Read
$0.38
Cache Write
—
Context
262.1K
Input
$0.95
Output
$4
Cache Read
$0.19
Cache Write
—
Context
1M
Input
$0.6
Output
$2.40
Cache Read
$0.12
Cache Write
—
Context
1M
Input
$0.6
Output
$2.40
Cache Read
$0.12
Cache Write
—
Context
1M
Input
$0.4
Output
$1.60
Cache Read
$0.08
Cache Write
$0.5
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Route requests to frontier and open-source models like Claude, GPT, Gemini, Grok, Llama, Mistral, DeepSeek, and Qwen through one API key. No separate accounts, no per-provider SDKs.
Automatic fallback routing ensures uptime even when individual providers experience outages. Smart load balancing distributes requests for optimal latency.
Use /v1/chat/completions, /v1/embeddings, and /v1/images/generations with the same request format you already know. Migrate in under 5 minutes.
Full streaming support, function calling, JSON mode, and vision inputs across all compatible models. Response format matches OpenAI spec exactly.
99.9% uptime SLA, sub-200ms median latency, and usage-based billing with no per-seat costs. Scale from prototype to production without renegotiating contracts.
Enterprise-ready infrastructure with data residency options. Rate limits scale automatically with your plan. Real-time usage dashboards and cost alerts.