Cost Calculator

How much does intent detection cost?

Compare 14 AI models for intent detection. Prices shown at 10K calls/month with default token counts.

Classification tasks assign labels or categories to input text with minimal output. These are the most token-efficient task type across all major AI providers. Input stays short, and output is typically a single label or confidence score.

What drives intent detection cost

Intent classification sits in the hot path of a conversational product, so latency constrains model choice more than price does: batch processing is not available to you when the user is waiting. That makes the fast tier the natural fit on both axes. The intent list is constant and belongs in the cached prefix.

Recommendations

Top picks for intent detection

Best quality

GPT 5.4

88/100 confidence

Best value

GPT 5.6 Luna

91/100 confidence · $16/mo

Frequently asked questions

How much does intent detection cost per API call?

Intent classification sits in the hot path of a conversational product, so latency constrains model choice more than price does: batch processing is not available to you when the user is waiting. That makes the fast tier the natural fit on both axes. The intent list is constant and belongs in the cached prefix. Across the 14 models we track, a typical call uses about 300 input and 100 output tokens.

What is the cheapest model for intent detection?

GPT 5.6 Luna from GPT is the lowest-cost model we track for intent detection, at roughly $16.00 for 10,000 calls per month. It scores 91 out of 100 on this task type.

Which model is best for intent detection?

GPT 5.4 from GPT ranks highest for intent detection, scoring 88 out of 100. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

See your real intent detection costs

These are estimates based on published rates. Track your real spend with the free dashboard.