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English(EN) Should your product run on GPT-6 Astra? Numbers from OpenAI's docs: • $10 in / $50 out per 1M tokens; above 272K input tokens, input 2x and output 1.5x for the

OpenAI的GPT-6 Astra定价与能力揭晓

OpenAI的GPT-6 Astra模型细节公布,定价信息显示每100万个token的成本为10美元(输入)和50美元(输出)。该模型支持105万个token的上下文窗口,最大输出为128,000个token,知识截止日期为2026年4月。还提到了一个成本较低的模型GPT-6.1 Sol,其token成本显著降低,使其成为通用任务的更合适选择。 AI

影响 提供了未来OpenAI模型潜在的成本和能力细节,影响AI产品的开发决策。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

OpenAI的GPT-6 Astra定价与能力揭晓

本文如何被排名

Signal score
18 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级: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
model release, product
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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · papansarkar ·

    您的产品是否应该运行在GPT-6 Astra上?来自OpenAI文档的数据:• 每100万个token输入10美元/输出50美元;当输入token数超过27.2万时,输入价格翻倍,输出价格变为1.5倍

    Should your product run on GPT-6 Astra? Numbers from OpenAI's docs: • $10 in / $50 out per 1M tokens; above 272K input tokens, input 2x and output 1.5x for the whole request • 1.05M context, 128K max output, Apr 2026 cutoff • GPT-6.1 Sol: $2 / $10 A 3,000/800-token call: ~$0.07 v…