Cost Calculator

How much does financial analysis cost?

Compare 32 AI models for financial analysis. Prices shown at 10K calls/month with default token counts.

Reasoning tasks require multi-step logic, analysis, or detailed problem solving by the model. Output tokens tend to be high because the model produces intermediate steps. The final answer follows a chain of reasoning that increases the output length.

What drives financial analysis cost

Financial analysis carries large structured inputs (statements, tables, time series) and produces detailed reasoning as output, so it is expensive on both sides. Tabular data is token-dense, and formatting choices in how you serialize a table can change input cost by a wide margin before you have changed anything about the model.

Recommendations

Top picks for financial analysis

Best quality

GPT 6 Astra

93/100 confidence

Best value

GPT 6 Luna

82/100 confidence · $7/mo

Frequently asked questions

How much does financial analysis cost per API call?

Financial analysis carries large structured inputs (statements, tables, time series) and produces detailed reasoning as output, so it is expensive on both sides. Tabular data is token-dense, and formatting choices in how you serialize a table can change input cost by a wide margin before you have changed anything about the model. Across the 32 models we track, a typical call uses about 8,000 input and 4,000 output tokens.

What is the cheapest model for financial analysis?

GPT 6 Luna from GPT is the lowest-cost model we track for financial analysis, at roughly $7.00 for 10,000 calls per month. It scores 82 out of 100 on this task type.

Which model is best for financial analysis?

GPT 6 Astra from GPT ranks highest for financial analysis, scoring 93 out of 100. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

See your real financial analysis costs

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