OpenAI Ted Sanders 分享选择 GPT 模型的经验法则
OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT-model
OpenAI 的 Ted Sanders 指出 GPT-6.1 Terra 在技术沟通优于更大模型 Astra，在图像处理和计算机使用上大致相当但价格更低，但在其他领域表现不足。他强调模型性能是多维度的，大小并非唯一标准，并建议根据质量或价格敏感度选择不同模型。
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各家口径不同：Artificial Analysis Articles 称 GPT-6.1 Terra 的输入/输出定价为每百万 token 1 美元/5 美元，而 The Decoder 提到 GPT-5.6 Terra 的定价为 2 美元/12 美元。
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OpenAI Ted Sanders 分享选择 GPT 模型的经验法则
新增信息：Ted Sanders 提到 GPT-6.1 Terra 在技术沟通方面优于更大的模型 Astra。
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OpenAI's Ted Sanders has categorized the new GPT-6.1 Terra and explained how the company names its language models. According to Sanders, model performance is multidimensional. A model that's great at math won't automatically be good at jokes. Still, most performance gaps come down to one variable: model size. Sanders says OpenAI's model names are difficult to simplify because model size, reasoning effort, and multi-agent systems are distinct dimensions. Combining them into a single "IQ score" would obscure details.
And size doesn't explain everything. Newer, smaller models can outperform older, larger ones through better training data or improved architectures. GPT-6.1 Terra is likely better than the larger Astra at technical communication and roughly matches it in image processing and computer use at a much lower price point, but falls short in most other areas, Sanders says. "If you care about quality only, pick Astra. If you're a bit price sensitive, pick Sol. If you're very price sensitive, pick Terra or Luna."
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来源: The Decoder · the-decoder.com