OpenAI Developers plugin adds Showcase tab and API credits

The framework gives security teams a shared scale for ranking jailbreak severity instead of treating every bypass as equally dangerous, so mitigation budgets can target the attacks that actually unlock cyber-offensive capability. Model providers, red teams and enterprise defenders should adopt it when auditing safeguard strength across frontier models. It also signals that competing labs within the Frontier Model Forum are converging on common evaluation practice rather than publishing incomparable private assessments.

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The gain came with fewer reasoning tokens, so the benchmark improvement reflects better raw-data reading rather than longer thinking. Rubrics that reward partial credit and error-spotting make this a more realistic measure of lab readiness than pass/fail tests. Teams evaluating agents for scientific work can use it to compare GPT-6 Astra against GPT-5.6 Sol on messy real-world inputs.

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