Industry use case · Financial services

GPT-6: Astra for financial services

Long-document financial analysis — filings, prospectuses, and multi-year statements — at a per-token input cost of $10 per 1M. At $10 per 1M input tokens (below the 272,000-token surcharge threshold), a full quarterly filing or a multi-document diligence set fits inside GPT-6: Astra's 1,050,000-token window for a bounded, predictable cost, letting an analyst reason across the whole document set in one pass instead of chunking it.

Where it fits

Long-document financial analysis — filings, prospectuses, and multi-year statements — at a per-token input cost of $10 per 1M.

The grounding number: long-context analysis at $10 per 1M input tokens

At $10 per 1M input tokens (below the 272,000-token surcharge threshold), a full quarterly filing or a multi-document diligence set fits inside GPT-6: Astra's 1,050,000-token window for a bounded, predictable cost, letting an analyst reason across the whole document set in one pass instead of chunking it.

Example prompt

Example
Extract every material risk factor and forward-looking statement from the attached filing, cite the exact section for each, and flag any figure that appears inconsistent with the prior quarter's filing.

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Who should look elsewhere

This is not financial advice. Verify every extracted number against the authoritative filing before it feeds a decision, and treat generated summaries as a starting point for a qualified analyst, not a final output.

Recommended access

Use pay-as-you-go API credits for a controlled evaluation on your own workload and cost profile before committing production routing.

Frequently asked questions

Is GPT-6: Astra good for financial services?

At $10 per 1M input tokens (below the 272,000-token surcharge threshold), a full quarterly filing or a multi-document diligence set fits inside GPT-6: Astra's 1,050,000-token window for a bounded, predictable cost, letting an analyst reason across the whole document set in one pass instead of chunking it. This is not financial advice. Verify every extracted number against the authoritative filing before it feeds a decision, and treat generated summaries as a starting point for a qualified analyst, not a final output.

Put GPT-6: Astra to work

Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.