AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

Quant-Arena

Agent 能否在研究期开发股票评分策略,冻结程序后仍在封存年度保持表现?Quant-Arena 测试这一完整研究过程。

论文 v1 与作者榜单:76 个模型与推理档位配置,以及一个专有参照策略;迭代与单次生成分开呈现。

研究、冻结,再评估

每次运行用日行情及 Level-2 原始数据编写 Python 特征和每日股票评分,覆盖选定的 3,042 只 A 股。迭代研究最多在 2022–2023 年评估五个候选策略,随后冻结一个程序,在封存的 2024 年上评估一次。单次生成则直接写出策略,不获得上述研究反馈。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

总分不是收益率

总分 S = 0.3 S_in + 0.7 S_out,范围为 0–100。样本内分数将以收益为主的策略质量与特征多样性结合;封存阶段的组合规则按版本固定,但未公开。现金账户评估器目标持有 75 只股票,并计入整手限制、费用及模拟市场冲击;等权市场参照的收益未扣费用。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

保留每个推理档位

九个模型合计有 38 组迭代配置和 38 组单次生成配置。总分最高的配置不一定收益最高:论文表 2 中 GPT-6 Sol 的 medium 档收益为 18.4%,高于 17.1% 的未扣费市场参照,但其总分最高的是 xhigh。因此“没有模型跑赢市场”只适用于按最高总分选出的配置,不能扩展到全部运行。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

迭代研究 · 完整配置

保留全部 38 个模型与推理档位配置。Kepler-1 为发布方的专有参照策略,不是另一个 LLM 推理档位。

迭代研究 · 2026-10-27 读取的作者榜单
模型推理档位总分研究期分数封存期分数2024 年化收益超额(百分点)RankIC夏普比率最大回撤
Kepler-1 Einsia AI—77.5677.2277.7094.0%+76.90.0852.98−15.9%
GPT-6 AstraLow47.2258.1042.562.3%−14.80.0560.22−25.7%
GPT-6 AstraMedium47.1748.0946.789.8%−7.20.0440.53−17.9%
GPT-6 AstraHigh43.7052.3439.99−0.9%−17.90.0530.11−26.3%
GPT-6 AstraXHigh51.2953.9450.1610.7%−6.30.1010.86−6.8%
GPT-6 AstraMax50.6352.9449.6411.2%−5.90.0820.81−7.0%
GPT-6 SolLow38.5148.8534.091.4%−15.7−0.0200.19−30.1%
GPT-6 SolMedium49.8044.1452.2318.4%+1.40.0180.65−35.9%
GPT-6 SolHigh42.8952.1638.92−2.5%−19.50.0420.10−37.4%
GPT-6 SolXHigh51.1455.5049.268.6%−8.40.0531.89−2.8%
GPT-6 SolMax45.3146.4944.818.1%−9.00.0180.41−30.0%
GPT-5.6 TerraNone33.0926.6735.852.4%−14.7−0.0420.22−24.9%
GPT-5.6 TerraLow41.1950.5837.17−4.6%−21.70.0220.02−31.4%
GPT-5.6 TerraMedium39.5043.1737.93−4.3%−21.30.0360.00−29.0%
GPT-5.6 TerraHigh41.5444.7240.170.0%−17.00.0350.14−29.9%
GPT-5.6 TerraXHigh44.7750.6042.289.9%−7.1−0.0120.44−32.6%
GPT-5.6 TerraMax47.5850.3746.398.4%−8.70.0260.42−28.8%
Claude Opus 5.5Low30.1537.7626.89−29.4%−46.40.035−1.21−44.1%
Claude Opus 5.5Medium44.2856.7838.924.4%−12.7−0.0020.29−32.7%
Claude Opus 5.5High39.8952.8734.32−11.2%−28.30.039−0.25−32.7%
Claude Opus 5.5XHigh41.9254.4836.53−7.0%−24.00.043−0.08−33.2%
Claude Opus 5.5Max41.3950.4137.52−4.0%−21.10.030−0.03−25.1%
Gemini 3.8 FlashLow41.4653.4436.32−6.2%−23.30.037−0.04−35.8%
Gemini 3.8 FlashMedium43.0453.5838.52−2.9%−19.90.0450.06−33.8%
Gemini 3.8 FlashHigh35.3948.9029.61−19.1%−36.20.022−0.49−38.5%
Claude Sonnet 5.5Low34.9747.9129.43−9.5%−26.6−0.009−0.13−35.5%
Claude Sonnet 5.5Medium39.4243.3937.73−3.5%−20.60.041−0.02−24.3%
Claude Sonnet 5.5High40.5054.1134.67−9.0%−26.10.044−0.19−34.7%
Claude Sonnet 5.5XHigh40.1044.6838.13−0.5%−17.60.0150.15−35.0%
Claude Sonnet 5.5Max40.9357.3333.90−12.2%−29.20.045−0.23−36.1%
GLM-5.3High38.6749.3134.11−8.6%−25.70.018−0.14−31.6%
GLM-5.3Max38.9147.9635.03−7.8%−24.90.046−0.18−27.8%
Kimi K3Low38.3145.8735.07−8.5%−25.60.027−0.10−36.4%
Kimi K3High31.4336.8529.10−20.0%−37.00.036−0.84−36.9%
Kimi K3Max31.8639.8728.43−25.6%−42.70.041−1.14−39.9%
DeepSeek V4.1 FlashNone22.0021.2122.33−24.1%−41.2−0.022−1.03−29.5%
DeepSeek V4.1 FlashLow36.4548.4631.30−5.7%−22.7−0.009−0.06−30.3%
DeepSeek V4.1 FlashHigh35.9746.0231.67−11.3%−28.40.015−0.25−34.0%
DeepSeek V4.1 FlashMax35.9042.4933.08−11.0%−28.10.037−0.28−34.2%

数值按原表保留;S 是评分,ARR 与最大回撤是百分数。两种设置属于不同评测条件;Kepler-1 的构建方法未公开。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

单次生成 · 完整配置

保留全部 38 个模型与推理档位配置。Kepler-1 为发布方的专有参照策略,不是另一个 LLM 推理档位。

单次生成 · 2026-10-27 读取的作者榜单
模型推理档位总分研究期分数封存期分数2024 年化收益超额(百分点)RankIC夏普比率最大回撤
Kepler-1 Einsia AI—77.5677.2277.7094.0%+76.90.0852.98−15.9%
Claude Opus 5.5Low35.0443.2131.53−4.5%−21.6−0.0110.00−33.0%
Claude Opus 5.5Medium42.6147.1940.655.6%−11.5−0.0010.34−21.0%
Claude Opus 5.5High36.0739.6834.52−7.5%−24.50.020−0.14−29.7%
Claude Opus 5.5XHigh39.1349.0534.88−9.9%−26.90.040−0.20−35.0%
Claude Opus 5.5Max39.7042.0738.69−3.7%−20.80.0460.03−35.9%
GPT-5.6 TerraNone42.1446.5640.259.5%−7.6−0.0100.44−27.8%
GPT-5.6 TerraLow27.8226.5928.35−10.3%−27.4−0.007−0.24−25.7%
GPT-5.6 TerraMedium21.0120.4421.25−32.4%−49.4−0.010−1.51−34.1%
GPT-5.6 TerraHigh40.6142.8839.646.2%−10.9−0.0010.35−27.5%
GPT-5.6 TerraXHigh34.2142.9430.46−9.8%−26.80.000−0.17−33.6%
GPT-5.6 TerraMax20.9820.9820.97−32.3%−49.3−0.009−1.60−32.6%
Claude Sonnet 5.5Low37.7542.4135.761.1%−16.0−0.0070.19−30.3%
Claude Sonnet 5.5Medium33.8241.8130.39−11.5%−28.60.002−0.21−35.5%
Claude Sonnet 5.5High40.2444.2838.501.4%−15.60.0100.20−32.1%
Claude Sonnet 5.5XHigh37.0547.9032.40−14.3%−31.30.029−0.33−36.0%
Claude Sonnet 5.5Max33.8941.1930.77−14.8%−31.90.018−0.33−36.9%
GLM-5.3High38.0252.5431.79−4.2%−21.3−0.0230.05−37.3%
GLM-5.3Max31.4634.7030.07−15.4%−32.40.022−0.51−32.1%
Gemini 3.8 FlashLow27.7521.2630.53−12.1%−29.10.005−0.41−23.5%
Gemini 3.8 FlashMedium35.9135.6236.041.6%−15.4−0.0060.19−23.8%
Gemini 3.8 FlashHigh30.2625.9332.11−5.4%−22.5−0.003−0.06−24.6%
GPT-6 AstraLow30.0835.0527.95−11.2%−28.3−0.010−0.28−30.3%
GPT-6 AstraMedium31.0236.7328.57−9.7%−26.7−0.012−0.20−30.3%
GPT-6 AstraHigh35.2238.2733.92−4.8%−21.90.007−0.03−30.9%
GPT-6 AstraXHigh30.3038.4626.80−16.7%−33.8−0.002−0.48−34.7%
GPT-6 AstraMax31.4740.1327.75−18.3%−35.30.007−0.54−34.8%
GPT-6 SolLow32.1538.2929.52−7.6%−24.7−0.014−0.08−32.2%
GPT-6 SolMedium22.6022.6222.59−31.4%−48.4−0.006−1.31−34.1%
GPT-6 SolHigh23.1521.0724.04−17.4%−34.4−0.020−0.51−29.6%
GPT-6 SolXHigh23.2923.8423.05−19.0%−36.1−0.022−0.60−29.6%
GPT-6 SolMax22.3124.0821.55−23.7%−40.7−0.018−0.98−32.5%
Kimi K3Low31.5838.5828.58−13.4%−30.50.000−0.34−33.8%
Kimi K3High32.0137.8929.48−20.5%−37.60.038−0.84−38.6%
Kimi K3Max31.6540.8727.70−20.3%−37.30.016−0.86−35.1%
DeepSeek V4.1 FlashNone20.4822.0119.82−34.1%−51.1−0.015−1.79−37.5%
DeepSeek V4.1 FlashLow29.3634.2127.28−17.4%−34.40.001−0.49−33.3%
DeepSeek V4.1 FlashHigh29.6337.5126.25−25.4%−42.40.010−0.92−39.5%
DeepSeek V4.1 FlashMax29.9235.9527.34−11.9%−29.0−0.008−0.42−26.7%

数值按原表保留;S 是评分,ARR 与最大回撤是百分数。两种设置属于不同评测条件;Kepler-1 的构建方法未公开。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy · Quant-Arena · author leaderboard, all efforts and both settings

这些证据的范围

这是作者在一个股票范围和一个封存年度上完成的历史评估,使用受控数据接口与特定交易假设。它检验此条件下的研究和策略构建,不能证明未来投资表现、独立复现结果或一般金融知识排名。

Quant-Arena paper v1 · protocol, Table 2, Appendix B and reference strategy

原始发布

论文 v1 与作者榜单:76 个模型与推理档位配置,以及一个专有参照策略;迭代与单次生成分开呈现。

核对于 2026-10-27

已收录的评测资料

这条来源记录收录了 77 条数值成绩。来源区分了 10 个模型身份或配置。同一模型可能有多条记录;比较前请核对具体版本、工具和运行预算。 查看成绩及逐条证据 →

报告指标
Total score S = 0.3 S_in + 0.7 S_out (0–100)
原始单位
points
指标方向
数值越高越好

从这些资料开始

引用文档及日期(1)

评测信息与证据

来源
Model reports
发布者
未收录
评测发布日期
2026-10-21
采集日期
未收录
模态
未收录

本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。

报告成绩 77

按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。

模型数值单位协议报告日期与口径来源
Kepler-1 (proprietary strategy)77.56pointsKepler-1 proprietary reference strategy; construction undisclosed; cash-account evaluator; not a supported-effort LLM run2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.89pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.5pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash35.97pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.67pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra41.54pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra43.7pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol42.89pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash35.39pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.43pointsiterative research; at most five research-window candidate evaluations; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.530.15pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.534.97pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash36.45pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra41.19pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra47.22pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol38.51pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash41.46pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K338.31pointsiterative research; at most five research-window candidate evaluations; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.541.39pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.93pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash35.9pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.91pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra47.58pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra50.63pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol45.31pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.86pointsiterative research; at most five research-window candidate evaluations; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.544.28pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.539.42pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra39.5pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra47.17pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol49.8pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash43.04pointsiterative research; at most five research-window candidate evaluations; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash22.0pointsiterative research; at most five research-window candidate evaluations; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra33.09pointsiterative research; at most five research-window candidate evaluations; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.541.92pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.1pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra44.77pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra51.29pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol51.14pointsiterative research; at most five research-window candidate evaluations; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.536.07pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.540.24pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.63pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.338.02pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra40.61pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra35.22pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol23.15pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash30.26pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K332.01pointsone-shot generation; no research-window candidate feedback; reasoning effort high; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.535.04pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.537.75pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.36pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra27.82pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra30.08pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol32.15pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash27.75pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.58pointsone-shot generation; no research-window candidate feedback; reasoning effort low; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.7pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.533.89pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash29.92pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GLM-5.331.46pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra20.98pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra31.47pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol22.31pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Kimi K331.65pointsone-shot generation; no research-window candidate feedback; reasoning effort max; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.542.61pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.533.82pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra21.01pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra31.02pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol22.6pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Gemini 3.8 Flash35.91pointsone-shot generation; no research-window candidate feedback; reasoning effort medium; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
DeepSeek V4.1 Flash20.48pointsone-shot generation; no research-window candidate feedback; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra42.14pointsone-shot generation; no research-window candidate feedback; reasoning effort none; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Opus 5.539.13pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
Claude Sonnet 5.537.05pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-5.6 Terra34.21pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Astra30.3pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference
GPT-6 Sol23.29pointsone-shot generation; no research-window candidate feedback; reasoning effort xhigh; frozen strategy; cash-account evaluator2026-10-21 · document_publicationQuant-Arena paper v1 · configuration results and proprietary reference