研究指出，SWE-bench Verified基准测试可能高估AI编程能力。该测试中被判“通过”的AI代码方案，约一半在实际项目审核中会被拒绝，显示自动化评测与真实工程质量存在明显差距。这一发现对AI辅助软件工程评估标准提出了重要质疑。
MiniMax 发布 M2.5 模型，这是其 M2 系列在 108 天内的第三次升级。模型开源权重同步上线魔搭 ModelScope，在编程、搜索、办公等多场景表现领先，实现了能力、效率与成本的三重突破。该版本提供从零代码使用到私有化部署的全流程方案，并附有工具调用与推理参数调优的实战指南，旨在推动低成本 Agent 时代的到来。M2.5 在多项评测中成绩突出，例如在 SWE-Bench Verified 中表现亮眼。
智谱AI开源模型GLM-4.7-Flash发布两周，在Hugging Face下载量突破100万。这款30B-A3B混合思考模型性能强劲，在SWE-bench Verified和τ²-Bench等测试中，综合表现超越gpt-oss-20b及Qwen3-30B-A3B-Thinking-2507，在同尺寸模型中领先。
九坤投资推出AI大模型IQuest-Coder-V1系列，具备强大代码生成与理解能力。该系列提供7B、14B和40B三种参数版本，其中40B版本在SWE-Bench Verified榜单上表现突出，以81.4%的成绩超越Claude Opus-4.5和GPT-5.2等知名模型，引发科技界关注。
AI模型软件工程能力评估工具
Anthropic
$21
输入tokens/百万
$105
输出tokens/百万
200
上下文长度
Openai
$8.75
$70
400
$525
Chatglm
$2
$8
128
Xai
-
Kwaipilot
KAT-Dev-72B-Exp是一款用于软件工程任务的720亿参数开源大语言模型，在SWE-Bench Verified基准测试中达到74.6%的准确率，是KAT-Coder模型的实验性强化学习版本。
moonshotai
Kimi-Dev-72B 是一款用于软件工程任务的开源编码大语言模型，在 SWE-bench Verified 上取得了开源模型中的最优成绩。
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