Gemini Decision 1:发布、Decision Index 得分、性能与价格
模型摘要
与其他决策模型相比,Gemini Decision 1 的 Decision Index 得分低于平均水平,价格也尤其昂贵。此外,其速度快于平均水平。该模型支持文本和图像输入,上下文窗口为 262k 个 token。
Gemini Decision 1 在 Artificial Analysis Decision Index 上的得分为 66,在决策模型中低于平均水平(中位数:66)。
Gemini Decision 1 每项任务耗时 211 ms,快于平均水平(中位数:211 ms)。
Gemini Decision 1 每 100 万输入 token 的价格为 $0.10。在 Decision Index 上运行 Gemini Decision 1 的平均成本为每百万项任务 $345(昂贵,中位数:$143)。
| 开发者 | |
|---|---|
| 服务商 | Google AI Studio |
| 输入模态 | 支持:文本和图像 |
| 上下文窗口 | 262k |
| 输入价格 | 每百万 token $0.10 |
得分
Artificial Analysis Decision Index
Weighted average of the Decision Score on AA-Paperclip, EvalSafe-O*NET-AA, When2Call, AA-Omniscience-Decision v1.1, and HLE-MultiChoice v1.1, and the Symmetry Score on AA-Symmetry v1.1 · Accuracy less the Brier score of the chosen answer's probability, from 0 to 100 where 100 is certain and right · Higher is better
Artificial Analysis Decision Index vs. 每百万项任务成本
Artificial Analysis Decision Index score vs. average cost per 1 million tasks (USD)
Most attractive quadrant
Pareto line
准确率
本部分展示每项评估的主要指标,并首先给出其加权平均值。在准确率选项卡中,准确率是指模型给出最高概率的选项正确的问题所占比例。
Artificial Analysis Decision Index:主要指标
Weighted average of the headline metrics of AA-Paperclip, EvalSafe-O*NET-AA, When2Call, AA-Omniscience-Decision v1.1, HLE-MultiChoice v1.1, and AA-Symmetry v1.1 · Higher is better
校准
Artificial Analysis Decision Index:Brier 分数
Mean squared gap between the chosen answer's probability and whether it is right, from 0 to 1 · AA-Paperclip, EvalSafe-O*NET-AA, When2Call, AA-Omniscience-Decision v1.1, and HLE-MultiChoice v1.1 averaged with the index's weights · Lower is better
Artificial Analysis Decision Index:校准
模型为所选答案给出的概率对应的准确率 · 宽度为 0.1 的区间(至少 20 个回答) · 各基准权重相同 · 不含放弃作答的答案
耗时
Artificial Analysis Decision Index:每项任务耗时
Each evaluation's median time per task, averaged with the index's weights · Lower is better
成本
Artificial Analysis Decision Index:每百万项任务成本
Average cost per 1 million tasks across all Artificial Analysis Decision Index evaluations at current prices (USD) · Lower is better