⚡ 此模型Models通过 OpenCode API 测试tested(非本地推理),成绩作为参考reference
| # | 题目Question | 测试包Pack | 难度Difficulty | 结果Result | 得分Score | 重试Retry | sandbox | 耗时Time | 失败类型Failure Type | 点评Comment |
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⚡ 此模型Models通过 OpenCode API 测试tested(非本地推理),成绩作为参考reference
DeepSeek-V4-Flash 94.0 分,实用 85.0 分(9 次重试)。作为 API 大模型,284B MoE(13B 激活)在参数量和训练数据上远超本地小参数模型。ToolCall 满分、BF 93.3、HA 90,三项均衡且都很强。本页成绩仅供参考。DeepSeek-V4-Flash: 94.0 points, 85.0 effective (9 retries). As a large API model, its 284B MoE (13B activated) parameters and training data far exceed local small models. ToolCall perfect, BF 93.3, HA 90 — well-balanced and strong across all three. Results on this page are for reference only.
一句话评价 TL;DR:API 大模型的正常水平——284B 参数量优势明显,本页成绩仅供参考。TL;DR: Normal level for large API models — the 284B parameter count is significant. Scores on this page are for reference only.