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Worked examples, in AI in Markets

Earnings Call Summarization Cost: Examples

Covering a 50-ticker earnings universe costs single-digit dollars annually on budget models and under twenty dollars on premium ones. That is the surprising finding these scenarios document. The workload is fixed: 50 tickers, one 20,000-token transcript each, 1,500-token output, half the input cached, four quarters a year. Model choice drives the cost; the ceiling is lower than most practitioners expect.

3 examples. Published May 26, 2026. By AI Fin Hub Research.

Worked examples

See the inputs and outcome together

Each scenario keeps the starting point, the outcome, and the actual lesson in one place so the page reads like a decision notebook, not a data dump.

  1. 1

    Cheapest tier across the whole universe

    Summarizing all 50 tickers every quarter on Gemini 2.5 Flash-Lite. This is the floor for a bulk, first-pass summarization job.

    Cost per stock per quarter $0.00185, full-year total across the universe $0.37.

    Model

    Gemini 2.5 Flash-Lite

    Tickers per quarter

    50

    Transcript tokens

    20,000

    Summary tokens

    1,500

    Cache hit rate

    50%

    Thirty-seven cents covers 200 transcript summaries for a full year. At this price the bottleneck is never the model bill; it is transcript ingestion and quality control. Cost should not drive you off the cheap tier for a coarse summary.

  2. 2

    Mid-tier quality jump

    Stepping up to Claude Haiku 4.5 for cleaner summaries, same universe and same caching. The first point where quality, not price, is the reason to move.

    Cost per stock per quarter $0.0185, full-year total $3.70.

    Model

    Claude Haiku 4.5

    Tickers per quarter

    50

    Transcript tokens

    20,000

    Summary tokens

    1,500

    Cache hit rate

    50%

    Haiku is ten times Flash-Lite, but ten times $0.37 is still only $3.70 for the year. The absolute numbers are so small that you should choose on summary quality and downstream error rate, not on the model bill.

  3. 3

    Flagship model, full universe

    The top of the table: Claude Opus 4.8 summarizing all 50 tickers every quarter. The most you would plausibly pay for the highest-fidelity summaries.

    Cost per stock per quarter $0.0925, full-year total $18.50.

    Model

    Claude Opus 4.8

    Tickers per quarter

    50

    Transcript tokens

    20,000

    Summary tokens

    1,500

    Cache hit rate

    50%

    Even the flagship costs only $18.50 a year for the entire universe, fifty times the cheapest tier yet still trivial. Summarization is dominated by short output, so the output-price gap between models barely matters at this scale.

Patterns

Summarizing a full 50-ticker universe for a year costs between $0.37 and $18.50 depending on model, all of it negligible.
Because the summary output is short, model price differences barely register; the input transcript and caching dominate the bill.
When absolute cost is this low, choose the model on summary quality and downstream error rate, not on price.
The real cost of an earnings-summarization pipeline is transcript acquisition and validation, not tokens.

Run the numbers next

  • Calculators Financial Document Token Estimator

    Paste a 10-K, 10-Q, 8-K or earnings transcript and see token count + one-pass extraction cost across ten frontier LLMs, with cache-hit toggle.

  • Calculators Token-Cost Optimizer

    Compute the dollar cost of a trading research loop across Claude, GPT, and Gemini. Prompt length × model × retry × call volume → cost per idea and per.

Sources

  1. Anthropic API Pricing , Anthropic (2026)
  2. Prompt Caching with Claude , Anthropic (2026)

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