OpenAI FRONTIER API · Context: 2,000,000 tokens

OpenAI GPT-6.1 Sol

OpenAI’s flagship deep-reasoning and formal-verification model designed for zero-day vulnerability root-cause analysis, theorem proving, and complex distributed systems architecture.

Provider
OpenAI (Proprietary API)
Architecture
Test-Time Compute Reasoning MoE + Verification Loop
Parameters
Proprietary Reasoning Tier
Context Window
2,000,000 tokens (Max Output: 196,608 tokens)
API Pricing
Input: $7.50 / 1M · Cached: $1.50 / 1M · Output: $30.00 / 1M
Hardware Target
Cloud API Only

Interactive Token Cost Estimator (GPT-6.1 Sol)

Est. API Cost (0% Cache): --/mo | With 70% Prompt Cache: --/mo
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Architectural Strengths & Target Workloads

  • Configurable test-time compute effort (low / medium / high) with self-verifying tool traces
  • State-of-the-art binary & source-level vulnerability auditing (CVE root-cause synthesis)
  • 2M context window with 196K maximum structured output tokens

Primary Engineering Workloads: Formal Verification · Zero-Day Triage & Security Auditing · System Architecture Design.

Frequently Asked Questions (GPT-6.1 Sol)

How much does OpenAI GPT-6.1 Sol cost per 1M tokens?

OpenAI GPT-6.1 Sol is priced at $7.50 per 1M uncached input tokens, $1.50 per 1M cached input tokens, and $30.00 per 1M output tokens (OpenAI Platform API (includes internal reasoning tokens in output billing)).

What is the context window of OpenAI GPT-6.1 Sol?

It supports up to 2,000,000 tokens (2,000,000 tokens) and a maximum generation output of 196,608 tokens.

Full TechPulse Engineering Analysis

OpenAI Ships GPT-6.1 Terra at Half the Price, While Newcomer Mirendil Debuts Fern with a 10M-Token Context

A cheaper, faster computer-use model lands in ChatGPT Work, Codex, the API and Amazon Bedrock on the same day a new lab bets on extreme context length for agent workloads.

Read Full Technical Dispatch (5 min read) →
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