Data Summarizer
Distill reports into executive summaries
Process lengthy reports, financial statements, research documents, or data exports and produce concise, insight-focused summaries calibrated to a specific audience — executive, technical, or operational — in seconds rather than hours.
GPT-6.1 Sol
for 1.5M tokens a month · 85% input / 15% output
Why this model
For this workload — 1.5M tokens a month, 85% of them input — it comes to about $4.8 a month, the lowest of the models suggested here. Its 1M-token context window holds long inputs in a single call, which matters for this kind of work.
Alternative models
Implementation tips
- 1
Use Gemini 3.1 Pro's 1M-token context window to send entire reports in one call — chunking and merging summaries introduces drift and misses cross-section insights that the full-document pass catches.
- 2
Define your output template explicitly: section headers, bullet count limits, and a 'Key Risk' callout box — structured templates produce consistent summaries that integrate cleanly into dashboards.
- 3
Include a 'confidence' field in your output schema: instruct the model to flag any claim in the summary where supporting data in the source is ambiguous, giving reviewers a targeted checklist.