VQV Signal

RESEARCH WATCH TECHNICAL

OpenAI lists gpt-6-astra-law, a legal version of GPT-6 Astra, on its API pricing page

According to a post on X by @getsuperintel, OpenAI has listed gpt-6-astra-law on its API pricing page. The model is a legal version of GPT-6 Astra that adds a search index over US case law, statutes and regulations. It costs $10 per million input tokens and $50 per million output tokens, the same as the base model. For now, it is available only to selected US law firms through Trusted Access.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-02T17:45:00+00:00 Detected 2026-11-02T22:22:01+00:00
View original source

According to a post on X by @getsuperintel, OpenAI has listed gpt-6-astra-law on its API pricing page. The model is a legal version of GPT-6 Astra that adds a search index over US case law, statutes and regulations. It costs $10 per million input tokens and $50 per million output tokens, the same as the base model. For now, it is available only to selected US law firms through Trusted Access.

AI-assisted summary based on the listed source.

The model adds a legal search index over US case law, statutes and regulations to GPT-6 Astra and costs $10 per million input tokens and $50 per million output, the same as the base model. For now it goes only to selected US law firms through Trusted Access, and OpenAI's own test on Vals AI's Legal Research Bench...

Selected US law firms may be able to use a legal research model with a specialised search index at the same price as the base model. Other legal teams and developers cannot access it yet, since availability is limited to selected firms for now. Watch for wider access and whether the benchmark gap holds up outside OpenAI's own test.

Treat this as research or capability evidence, not a product promise; inspect the source before applying it.

Signal Strength 84% Technical label WATCH Public Interest 61 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 73 Practical Impact Score 56 Novelty Interest Score 70 Consequence Score 74 Curiosity Score 0 Shareability Score 67

VQV surfaced this signal because it is recent, relevant to AI Business, connected to Scobleizer News Pulse (X).