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English(EN) Half the Token Price, 13 the Bill: How I Measure Model Cost Per Accepted Task

OpenAI推出成本效益高的GPT-6.1 Terra,挑战任务完成成本

OpenAI发布了GPT-6.1 Terra,这是一款专为高吞吐量自动化任务设计的高效且经济的模型。虽然其API价格比GPT-5.6 Terra等前代产品低50%,但作者强调,实际成本取决于每次成功任务的成本,其中包括模型支出和人工清理成本。GPT-6.1 Terra在速度、事实准确性和Terminal-Bench 4.0等基准测试中的表现方面取得了显著进步,在各种推理和编码任务中均优于GPT-5.6 Terra。然而,对于最复杂的编码工作,OpenAI仍然推荐使用GPT-6 Astra和GPT-6.1 Sol等模型。 AI

影响 为每任务成本效益设定了新的基准,可能降低高吞吐量AI应用的运营成本。

排序理由 前沿实验室模型发布,附带系统卡和基准数据。[lever_c_降级自frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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

OpenAI推出成本效益高的GPT-6.1 Terra,挑战任务完成成本

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前沿实验室模型发布,附带系统卡和基准数据。[lever_c_降级自frontier_release: ic=1 ai=1.0]
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ServBay ·

    令牌价格减半,账单减少13倍:我如何衡量每次任务接受的模型成本

    <h2> I Started With the Price, Then Did the Arithmetic </h2> <p>OpenAI cut the headline rate again. GPT-6.1 Terra's standard API price is $1 per million input tokens and $5 per million output tokens, about 50% lower than the previous generation.</p> <p>My first reaction was the s…