Cost Calculator
Compare 14 AI models for sentiment analysis. 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.
Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list.
Recommendations
Best quality
GPT 5.4
88/100 confidence
Best value
GPT 5.6 Luna
91/100 confidence · $16/mo
Monthly estimates assume 500 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.
Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list. Across the 14 models we track, a typical call uses about 500 input and 100 output tokens.
GPT 5.6 Luna from GPT is the lowest-cost model we track for sentiment analysis, 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 sentiment analysis, 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.