{"id":3910,"date":"2026-04-14T21:30:22","date_gmt":"2026-04-14T12:30:22","guid":{"rendered":"https:\/\/jinrai.co.jp\/blog\/2026\/04\/14\/glm-5-1-open-source-beats-gpt\/"},"modified":"2026-04-15T16:17:12","modified_gmt":"2026-04-15T07:17:12","slug":"glm-5-1-open-source-beats-gpt","status":"publish","type":"post","link":"https:\/\/jinrai.co.jp\/en\/blog\/2026\/04\/14\/glm-5-1-open-source-beats-gpt\/","title":{"rendered":"\u7121\u6599\u306eAI\u30e2\u30c7\u30eb\u304cGPT-5.4\u3092\u8d85\u3048\u305f\u65e5\u2014\u2014GLM-5.1\u304c\u7a81\u304d\u3064\u3051\u308bAI\u30b3\u30b9\u30c8\u306e\u5e38\u8b58\u5d29\u58ca"},"content":{"rendered":"

2026\u5e744\u6708\u3001AI\u306e\u4e16\u754c\u3067\u300c\u5e38\u8b58\u306e\u9006\u8ee2\u300d\u304c\u8d77\u304d\u307e\u3057\u305f\u3002\u4e2d\u56fdZhipu AI\u304c\u516c\u958b\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30e2\u30c7\u30eb\u300cGLM-5.1\u300d\u304c\u3001OpenAI\u306eGPT-5.4\u3092SWE-Bench Pro\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u4e0a\u56de\u3063\u305f\u306e\u3067\u3059\u3002\u3057\u304b\u3082MIT\u30e9\u30a4\u30bb\u30f3\u30b9\u2014\u2014\u5b8c\u5168\u7121\u6599\u3067\u5546\u7528\u5229\u7528\u53ef\u80fd\u3002\u300c\u6709\u6599AI\u306e\u307b\u3046\u304c\u5727\u5012\u7684\u306b\u5f37\u3044\u300d\u3068\u3044\u3046\u524d\u63d0\u304c\u5d29\u308c\u305f\u77ac\u9593\u3067\u3059\u3002<\/p>\n

\n

\u885d\u6483\u306e\u6570\u5b57<\/p>\n

\n
\n

94.6%<\/p>\n

Claude Opus 4.6\u306e\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u6027\u80fd\u5bfe\u6bd4<\/p>\n<\/div>\n

\n

1\/50<\/p>\n

GPT-5.4\u6bd4\u306eAPI\u5229\u7528\u30b3\u30b9\u30c8<\/p>\n<\/div>\n

\n

MIT<\/p>\n

\u30e9\u30a4\u30bb\u30f3\u30b9\uff08\u5b8c\u5168\u7121\u6599\u30fb\u5546\u7528\u53ef\uff09<\/p>\n<\/div>\n<\/div>\n<\/div>\n

\u4f55\u304c\u8d77\u304d\u305f\u306e\u304b\u2014\u2014\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u8a73\u7d30<\/h2>\n

GLM-5.1\u306fSWE-Bench Pro\uff08\u5b9f\u969b\u306eGitHub\u30a4\u30b7\u30e5\u30fc\u3092\u89e3\u6c7a\u3059\u308b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30d9\u30f3\u30c1\u30de\u30fc\u30af\uff09\u3067GPT-5.4\u3092\u4e0a\u56de\u308a\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u300c\u30c6\u30b9\u30c8\u3067\u9ad8\u5f97\u70b9\u3092\u53d6\u3063\u305f\u300d\u3068\u3044\u3046\u8a71\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u5b9f\u969b\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u30bf\u30b9\u30af\u306b\u304a\u3044\u3066\u3001\u7121\u6599\u306eAI\u304c\u6709\u6599\u306e\u6700\u9ad8\u7d1aAI\u3088\u308a\u512a\u308c\u305f\u7d50\u679c\u3092\u51fa\u3057\u305f\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n

\n\n\n\n\n\n\n
\u30e2\u30c7\u30eb<\/th>\nSWE-Bench Pro<\/th>\nAPI\u5165\u529b\u30b3\u30b9\u30c8<\/th>\n\u30e9\u30a4\u30bb\u30f3\u30b9<\/th>\n<\/tr>\n
GLM-5.1<\/td>\n\ud83e\udd47 \u9996\u4f4d<\/td>\n\u7121\u6599\uff08\u81ea\u5df1\u30db\u30b9\u30c8\uff09<\/td>\nMIT<\/td>\n<\/tr>\n
GPT-5.4<\/td>\n57.7%<\/td>\n$2.50\/1M\u30c8\u30fc\u30af\u30f3<\/td>\n\u30af\u30ed\u30fc\u30ba\u30c9<\/td>\n<\/tr>\n
Claude Opus 4.6<\/td>\n80.8%<\/td>\n$15\/1M\u30c8\u30fc\u30af\u30f3<\/td>\n\u30af\u30ed\u30fc\u30ba\u30c9<\/td>\n<\/tr>\n
DeepSeek V4<\/td>\nGPT-5.4\u306e\u7d0490%<\/td>\n$0.05\/1M\u30c8\u30fc\u30af\u30f3<\/td>\n\u30aa\u30fc\u30d7\u30f3<\/td>\n<\/tr>\n<\/table>\n<\/div>\n

\u4e2d\u5c0f\u4f01\u696d\u306b\u3068\u3063\u3066\u306e\u610f\u5473\u2014\u2014\u300cAI\u306f\u9ad8\u3044\u300d\u306e\u7d42\u308f\u308a<\/h2>\n

\u3053\u306e\u5909\u5316\u304c\u4e2d\u5c0f\u4f01\u696d\u306b\u3068\u3063\u3066\u91cd\u8981\u306a\u7406\u7531\u306f\u660e\u78ba\u3067\u3059\u3002DeepSeek V4\u306fGPT-5.4\u306e90%\u306e\u6027\u80fd\u30921\/50\u306e\u30b3\u30b9\u30c8\u3067\u63d0\u4f9b\u3057\u3001GLM-5.1\u306f\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3067GPT-5.4\u3092\u8d85\u3048\u308b\u6027\u80fd\u3092\u7121\u6599\u3067\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002\u300cAI\u3092\u5c0e\u5165\u3057\u305f\u3044\u304c\u6708\u984d\u30b3\u30b9\u30c8\u304c\u9ad8\u3044\u300d\u3068\u3044\u3046\u969c\u58c1\u304c\u3001\u6280\u8853\u7684\u306b\u306f\u6d88\u6ec5\u3057\u3064\u3064\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u305f\u3060\u3057\u6ce8\u610f\u70b9\u304c\u3042\u308a\u307e\u3059\u3002DeepSeek\u3084GLM-5.1\u306f\u4e2d\u56fd\u4f01\u696d\u304c\u958b\u767a\u3057\u3066\u304a\u308a\u3001\u30b5\u30fc\u30d0\u30fc\u304c\u4e2d\u56fd\u306b\u3042\u308b\u305f\u3081\u3001\u6a5f\u5bc6\u6027\u306e\u9ad8\u3044\u696d\u52d9\u30c7\u30fc\u30bf\u3092\u9001\u4fe1\u3059\u308b\u3053\u3068\u306b\u306f\u30ea\u30b9\u30af\u304c\u4f34\u3044\u307e\u3059\u3002\u81ea\u793e\u30b5\u30fc\u30d0\u30fc\u306b\u30c7\u30d7\u30ed\u30a4\uff08\u81ea\u5df1\u30db\u30b9\u30c8\uff09\u3059\u308c\u3070\u3053\u306e\u554f\u984c\u306f\u89e3\u6d88\u3067\u304d\u307e\u3059\u304c\u3001\u6280\u8853\u7684\u306a\u30cf\u30fc\u30c9\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e2d\u5c0f\u4f01\u696d\u306eAI\u6d3b\u7528<\/a>\u3067\u306f\u3001\u7528\u9014\u306b\u5fdc\u3058\u3066\u30af\u30ed\u30fc\u30ba\u30c9\u30e2\u30c7\u30eb\uff08GPT\u3001Claude\uff09\u3068\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30e2\u30c7\u30eb\u3092\u4f7f\u3044\u5206\u3051\u308b\u6226\u7565\u304c\u73fe\u5b9f\u7684\u3067\u3059\u3002<\/p>\n

\u300c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306f6\u30f6\u6708\u9045\u308c\u300d\u304c\u6b7b\u3093\u3060\u7406\u7531<\/h2>\n

2025\u5e74\u307e\u3067\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9AI\u306f\u5546\u7528\u30e2\u30c7\u30eb\u306e\u300c\u5ec9\u4fa1\u7248\u300d\u3068\u3044\u3046\u4f4d\u7f6e\u3065\u3051\u3067\u3057\u305f\u3002\u6027\u80fd\u306f\u5e38\u306b\u534a\u6b69\u9045\u308c\u3001\u6700\u5148\u7aef\u306e\u6a5f\u80fd\u306f\u30af\u30ed\u30fc\u30ba\u30c9\u30e2\u30c7\u30eb\u306e\u72ec\u58c7\u5834\u3067\u3057\u305f\u3002\u3057\u304b\u30572026\u5e74Q1\u306b\u72b6\u6cc1\u304c\u4e00\u5909\u3057\u307e\u3057\u305f\u3002<\/p>\n

Qwen 3.5\u306e9B\u30e2\u30c7\u30eb\uff08\u308f\u305a\u304b90\u5104\u30d1\u30e9\u30e1\u30fc\u30bf\uff09\u304cGPQA Diamond\u306781.7%\u3092\u8a18\u9332\u3057\u3001OpenAI\u306e1200\u5104\u30d1\u30e9\u30e1\u30fc\u30bf\u30e2\u30c7\u30eb\u3092\u4e0a\u56de\u308a\u307e\u3057\u305f\u3002NVIDIA Nemotron 3 Super\u306fSWE-Bench Verified\u306760.47%\u3092\u9054\u6210\u3002\u305d\u3057\u3066GLM-5.1\u304cGPT-5.4\u3092\u8d85\u3048\u305f\u3002\u3082\u306f\u3084\u300c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306f6\u30f6\u6708\u9045\u308c\u300d\u3067\u306f\u306a\u304f\u3001\u7279\u5b9a\u30bf\u30b9\u30af\u3067\u306f\u300c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u304c\u5148\u884c\u300d\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3053\u306e\u69cb\u9020\u5909\u5316\u306e\u8a73\u7d30\u306f4\u6708\u306eAI\u30cb\u30e5\u30fc\u30b9\u7dcf\u307e\u3068\u3081<\/a>\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3088\u304f\u3042\u308b\u8cea\u554f<\/h2>\n

GLM-5.1\u306f\u65e5\u672c\u8a9e\u3067\u3082\u4f7f\u3048\u307e\u3059\u304b<\/h3>\n

GLM-5.1\u306f\u30de\u30eb\u30c1\u30ea\u30f3\u30ac\u30eb\u5bfe\u5fdc\u3067\u3059\u304c\u3001\u65e5\u672c\u8a9e\u51e6\u7406\u306e\u54c1\u8cea\u306fClaude 4.6\u3084GPT-5.4\u306b\u306f\u53ca\u3070\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u65e5\u672c\u8a9e\u306e\u81ea\u7136\u3055\u3092\u91cd\u8996\u3059\u308b\u696d\u52d9\u3067\u306f\u3001Claude\u3084ChatGPT<\/a>\u3092\u63a8\u5968\u3057\u307e\u3059\u3002\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3084\u82f1\u8a9e\u570f\u306e\u30bf\u30b9\u30af\u3067\u306f\u5341\u5206\u306b\u5b9f\u7528\u7684\u3067\u3059\u3002<\/p>\n

\u81ea\u793e\u3067GLM-5.1\u3092\u52d5\u304b\u3059\u306b\u306f\u3069\u306e\u304f\u3089\u3044\u306e\u30b9\u30da\u30c3\u30af\u304c\u5fc5\u8981\u3067\u3059\u304b<\/h3>\n

\u30e2\u30c7\u30eb\u30b5\u30a4\u30ba\u306b\u3082\u3088\u308a\u307e\u3059\u304c\u3001NVIDIA A100\u307e\u305f\u306fH100 GPU\u642d\u8f09\u306e\u30b5\u30fc\u30d0\u30fc\u304c\u5fc5\u8981\u3067\u3059\u3002\u30af\u30e9\u30a6\u30c9GPU\uff08AWS\u3001GCP\u7b49\uff09\u3092\u5229\u7528\u3059\u308b\u5834\u5408\u3001\u6708\u984d\u6570\u4e07\u5186\u301c\u306e\u904b\u7528\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308a\u307e\u3059\u3002API\u7d4c\u7531\u3067\u5229\u7528\u3059\u308b\u5834\u5408\u306fGPU\u4e0d\u8981\u3067\u3059\u3002<\/p>\n

AI\u306e\u30b3\u30b9\u30c8\u69cb\u9020\u304c\u5909\u308f\u308b\u3053\u3068\u3067\u3001Web\u96c6\u5ba2\u306b\u3069\u3093\u306a\u5f71\u97ff\u304c\u3042\u308a\u307e\u3059\u304b<\/h3>\n

AI\u306e\u30b3\u30b9\u30c8\u4f4e\u4e0b\u306f\u3001AI\u691c\u7d22\uff08ChatGPT\u3001Gemini\u7b49\uff09\u306e\u5229\u7528\u8005\u3092\u52a0\u901f\u5ea6\u7684\u306b\u5897\u3084\u3057\u307e\u3059\u3002\u3064\u307e\u308a\u300cAI\u691c\u7d22\u306b\u81ea\u793e\u304c\u8868\u793a\u3055\u308c\u308b\u304b\u300d\u304c\u96c6\u5ba2\u306b\u76f4\u7d50\u3059\u308b\u6642\u4ee3\u304c\u3055\u3089\u306b\u65e9\u304f\u6765\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002GEO\u5bfe\u7b56<\/a>\uff08AI\u691c\u7d22\u6700\u9069\u5316\uff09\u306f\u3001\u4eca\u3059\u3050\u59cb\u3081\u308b\u3079\u304d\u65bd\u7b56\u3067\u3059\u3002<\/p>\n

\u307e\u3068\u3081<\/h2>\n

GLM-5.1\u304cGPT-5.4\u3092\u4e0a\u56de\u3063\u305f\u4e8b\u5b9f\u306f\u3001AI\u696d\u754c\u306e\u529b\u5b66\u304c\u5909\u308f\u3063\u305f\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u300c\u6700\u5f37\u306eAI\uff1d\u6700\u3082\u9ad8\u3044AI\u300d\u3067\u306f\u306a\u304f\u306a\u308a\u3001\u4f01\u696d\u306eAI\u9078\u5b9a\u306f\u300c\u7528\u9014\u00d7\u30b3\u30b9\u30c8\u00d7\u30c7\u30fc\u30bf\u4e3b\u6a29\u300d\u306e\u4e09\u8ef8\u3067\u5224\u65ad\u3059\u308b\u6642\u4ee3\u3067\u3059\u3002\u4e2d\u5c0f\u4f01\u696d\u306b\u3068\u3063\u3066\u306f\u300cAI\u306f\u9ad8\u304f\u3066\u624b\u304c\u51fa\u306a\u3044\u300d\u3068\u3044\u3046\u8a00\u3044\u8a33\u304c\u306a\u304f\u306a\u3063\u305f\u3068\u3082\u8a00\u3048\u307e\u3059\u3002<\/p>\n

\u95a2\u9023\u8a18\u4e8b<\/h2>\n

\u2192 \u30102026\u5e744\u6708\u3011\u751f\u6210AI10\u5927\u30cb\u30e5\u30fc\u30b9<\/a><\/p>\n

\u2192 GPT-5.5\uff08Spud\uff09\u3068\u306f\uff1f<\/a><\/p>\n

\u2192 Claude 4.6\u3067\u4f55\u304c\u5909\u308f\u3063\u305f\uff1f<\/a><\/p>\n

\u2192 \u4e2d\u5c0f\u4f01\u696d\u306eAI\u6d3b\u7528\u4e8b\u4f8b<\/a><\/p>\n

\u2192 AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c82026\u5e74\u306e\u5c0e\u5165\u52d5\u5411<\/a><\/p>\n

\n

AI\u6280\u8853\u3092Web\u96c6\u5ba2\u306b\u3082\u6d3b\u7528\u3057\u307e\u305b\u3093\u304b\uff1f<\/p>\n

AI\u306e\u9032\u5316\u306fWeb\u691c\u7d22\u306e\u4f53\u9a13\u3082\u5909\u3048\u3066\u3044\u307e\u3059\u3002\u682a\u5f0f\u4f1a\u793e\u4ec1\u983c\u306f\u3001AI\u6d3b\u7528\u00d7Web\u96c6\u5ba2\u3092\u4e00\u8cab\u3057\u3066\u652f\u63f4\u3002SEO\u30fbGEO\u5bfe\u7b56\u3067\u300c\u691c\u7d22\u306b\u3082AI\u691c\u7d22\u306b\u3082\u9078\u3070\u308c\u308b\u30b5\u30a4\u30c8\u300d\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002<\/p>\n

\nWeb\u96c6\u5ba2\u306e\u7121\u6599\u76f8\u8ac7 \u2192<\/a>
\nHP\u6d3b\u7528\u5ea6\u30c1\u30a7\u30c3\u30af\u30ea\u30b9\u30c8\uff08\u7121\u6599PDF\uff09\u2192<\/a>\n<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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