GPT-6 Luna 与 GPT-6.1 Sol 占据 Agent Arena Pareto 前沿 6 个位置
GPT-6 Luna and GPT-6.1 Sol by @OpenAI now hold 6 of the 11 spots on the Agent Arena Pareto frontier across their reasoning efforts!
Arena 的 Agent Arena Pareto 前沿共 11 个位置，OpenAI 的 GPT-6 Luna 与 GPT-6.1 Sol 按不同推理档位占据其中 6 个。GPT-6 Luna 在每任务低于 $0.10 的区间拿下 4 个最优位置中的 3 个，覆盖 Max、Medium 和 Low 档；GPT-6.1 Sol 则覆盖每任务 $0.22 至 $0.65 区间。加上 GPT-6 Astra（Max），OpenAI 模型共占 7 个前沿位置，Arena 据此指出切换推理档位有时比换模型更能保持在成本与性能的最优点。
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Arena 的 Pareto 前沿数据说明，在成本与性能之间切换推理档位有时比换模型更划算。
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查看原帖Update to the Agent Arena Pareto frontier: GPT-6 Luna (Max) has landed on the Agent Arena Pareto frontier with +1.59% net improvement at a median cost of just $0.05 per task! Luna costs 29% less than DeepSeek-V4.1-Flash and 76% less than Hy4 preview, while trailing their net-improvement scores by just 2.27 and 2.51 percentage points respectively. Compared…
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Update to the Agent Arena Pareto frontier: GPT-6 Luna (Max) has landed on the Agent Arena Pareto frontier with +1.59% net improvement at a median cost of just $0.05 per task! Luna costs 29% less than DeepSeek-V4.1-Flash and 76% less than Hy4 preview, while trailing their net-improvement scores by just 2.27 and 2.51 percentage points respectively. Compared to other GPT models on the Pareto frontier, GPT-6 Luna (Max) costs 94% less than GPT-6 Sol (Max), and 98% less than GPT-6 Astra (Max). Congrats to the @OpenAI team on this cost-efficient release!
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GPT-6 Luna and GPT-6.1 Sol by @OpenAI now hold 6 of the 11 spots on the Agent Arena Pareto frontier across their reasoning efforts!
- GPT-6 Luna dominates below $0.10/task, claiming 3 of the 4 optimal spots with Max, Medium and Low.
- GPT-6.1 Sol sets the frontier between $0.22 and $0.65/task, with the same reasoning levels on it too.
This shows why test-time scaling matters. Sometimes the best move is to switch the reasoning effort, not the model, to stay at the optimal cost/performance point.
With GPT-6 Astra (Max) also on the Pareto frontier, OpenAI models hold 7 of the 11 frontier spots with multiple reasoning levels. Congrats to the @OpenAI team!