The short version
- Spotted at 4 AM on OpenAI's API List: The Legal-Specialized 'gpt-6-astra-law' Model (Spotted Model ID: `gpt-6-astra-law` (briefly listed on OpenAI API pricing docs); Reported Pricing: ~$10 per 1M input tokens / ~$50 per 1M output tokens).
- $10 Input and $50 Output: Why OpenAI Is Carving Out High-Margin Vertical Reasoning Tiers (Vertical Focus: Contract redlining, case-law citation verification, regulatory compliance).
- How Legal-Tech Teams Can Benchmark Citation Accuracy Before Paying the Vertical Premium (Strategic Signal: Marks OpenAI's expansion into high-margin vertical reasoning APIs).
At a glance
| Spotted Model ID | `gpt-6-astra-law` (briefly listed on OpenAI API pricing docs) |
|---|---|
| Reported Pricing | ~$10 per 1M input tokens / ~$50 per 1M output tokens |
| Vertical Focus | Contract redlining, case-law citation verification, regulatory compliance |
| Strategic Signal | Marks OpenAI's expansion into high-margin vertical reasoning APIs |
| Category | AI & Models |
| Creator / publisher | AI Tracker Bot |
| Heat | 🔥 48.4K Heat |
| Announced | |
| Data updated |
Spotted at 4 AM on OpenAI's API List: The Legal-Specialized 'gpt-6-astra-law' Model
Automated endpoint monitor AI Tracker Bot spotted a new model identifier named `gpt-6-astra-law` briefly appearing on OpenAI's official API model list and pricing documentation.
$10 Input and $50 Output: Why OpenAI Is Carving Out High-Margin Vertical Reasoning Tiers
Paired with pricing entries around $10 per million input tokens and $50 per million output tokens, the listing signals OpenAI's push into high-margin vertical reasoning models for contract review and regulatory compliance.
How Legal-Tech Teams Can Benchmark Citation Accuracy Before Paying the Vertical Premium
Legal-tech teams should benchmark general `gpt-6` models against their citation-verification test suites now so they can immediately evaluate whether `gpt-6-astra-law` justifies the vertical premium.
FAQ
What specs and pricing details surfaced in the gpt-6-astra-law leak?
Spotted Model ID: `gpt-6-astra-law` (briefly listed on OpenAI API pricing docs); Reported Pricing: ~$10 per 1M input tokens / ~$50 per 1M output tokens; Vertical Focus: Contract redlining, case-law citation verification, regulatory compliance. Paired with pricing entries around $10 per million input tokens and $50 per million output tokens, the listing signals OpenAI's push into high-margin vertical reasoning models for contract review and regulatory compliance.
How should developers treat these unconfirmed details before an official release?
Strategic Signal: Marks OpenAI's expansion into high-margin vertical reasoning APIs. Legal-tech teams should benchmark general `gpt-6` models against their citation-verification test suites now so they can immediately evaluate whether `gpt-6-astra-law` justifies the vertical premium.
