Does streaming cost more?

No, streaming doesn't affect token costs - you pay for the same tokens whether streamed or not. Some providers may have minimal infrastructure differences, but token pricing is identical.

How do I implement streaming?

Most AI APIs support streaming via SSE. Set stream: true in your request, then process the event stream. Client-side, accumulate tokens and update the UI progressively. Most frameworks have streaming helpers.

What is time to first token (TTFT)?

TTFT measures how quickly the first token appears after a request. With streaming, users see the first token in 200-500ms typically. Without streaming, they wait for full generation (seconds).

Should I always use streaming?

For user-facing chat: almost always yes. For backend processing where you need the complete response before proceeding, streaming adds unnecessary complexity. For APIs, consider your UX requirements.

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Streaming

Sending AI model output incrementally as it's generated rather than waiting for the complete response. Improves perceived latency.

In-Depth Explanation

Streaming in AI refers to returning model outputs progressively as they're generated, token by token, rather than waiting for the entire response to complete before sending. This technique transforms user experience for AI applications.

How streaming works:

Client initiates request with streaming enabled
Server begins generating response
Each token is sent immediately when generated
Client displays tokens as they arrive
Stream closes when generation completes

Benefits of streaming:

Perceived latency: Users see immediate response
Time to first token: Often under 500ms vs seconds
User engagement: Active feedback keeps users engaged
Cancellation: Users can stop unwanted generations early
Progressive rendering: Content builds naturally

Implementation considerations:

Server-Sent Events (SSE) for web applications
WebSockets for bidirectional communication
Chunked HTTP responses
Client-side token accumulation and rendering

When streaming matters most:

Chat interfaces (ChatGPT experience)
Real-time assistants
Long-form content generation
Interactive applications

Business Context

Streaming makes AI feel 3-5x faster to users by showing responses as they're generated, crucial for chat interfaces.

How Clever Ops Uses This

We implement streaming for all conversational AI applications we build for Australian businesses. The improved user experience significantly impacts adoption and satisfaction.