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Português(PT) Cache de prompt do GPT-6: 90% de desconto em leituras em cache e como realmente acertar o cache

OpenAI launches prompt caching, slashing agent costs by 90%

By PulseAugur Editorial · [1 sources] ·

OpenAI has introduced a new prompt caching feature designed to significantly reduce costs for agent-based LLM applications. This feature offers a 90% discount on cached input tokens, with improved hit rates and new diagnostic tools. GitHub reported a more than 50% reduction in new prompt processing tokens after implementing this feature. The pricing structure for this caching is comparable to Anthropic's Claude Opus 5.5, though OpenAI has not yet specified a cache write fee. AI

IMPACT Significantly reduces operational costs for AI agents and could influence pricing strategies across the LLM market.

RANK_REASON New product feature release from a frontier AI lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI launches prompt caching, slashing agent costs by 90%

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New product feature release from a frontier AI lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Português(PT) · Lucas ·

    GPT-6 Prompt Cache: 90% Off Cached Reads and How to Actually Get Caching Right

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