Cost Calculator
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.
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
Best quality
GPT 5.4
88/100 confidence
Best value
GPT 5.6 Luna
91/100 confidence · $16/mo
Monthly estimates assume 300 input / 100 output tokens per call. Use the detailed page for custom calculations.
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.
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.
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.
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.
These are estimates based on published rates. Track your real spend with the free dashboard.