GPT-5徹底レビュー:AIが臨界点を越えた歴史的瞬間

lin james
2025-08-11
Share :

**ついにGPT-5が登場。

** 日本時間の未明、OpenAIが待望の次世代AIモデルを発表しました。開始が遅れるのはいつものことですが、AI業界全体が息を呑んで見守る中、約2年半ぶりの新モデルがついにお披露目されました。

GPT-4からGPT-5へ:想像以上の進化

GPT-4がリリースされたとき、多くの人が「これがAIの頂点だ」と感じました。しかし、それは序章に過ぎませんでした。 今回のGPT-5は単なる単一モデルではなく、複数の特化型モデルを統合したインテリジェント​・​システム です。

  • gpt-5-main​:汎用タスク向けのメインモデル
  • gpt-5-thinking​:高度な推論に特化したモデル
  • gpt-5-mini / nano​:軽量・省エネ版(モバイルや組込み向け)
  • gpt-5-thinking-pro​:並列推論が可能なPro向けバージョン

このシステムは、チャット・プログラミング・文章作成など用途に応じて最適なモデルを自動選択します。

图片


GPT-5の性能:幻覚大幅減、自然な対話、ベンチマーク首位

幻覚(誤情報)を大幅削減

GPT-4oと比較すると、事実誤認の発生率が大幅に低下。

  • gpt-5-main​:誤りを**44%**削減
  • gpt-5-thinking​:驚異の**78%**削減
  ![图片](data:image/png;base64,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)

人間らしい会話

過剰な迎合や不自然な絵文字が減り、「本当に賢い友人」と会話しているような感覚に。 さらに、性格プリセット機能も新搭載:

  • 皮肉屋
  • ロボット
  • オタク
  • 聞き役

プロンプトで性格設定を工夫する必要がなくなりました。

ベンチマークでも圧倒

数学・視覚推論・一般知識・マルチモーダル理解など、ほぼ全分野で首位を獲得。 ただし、発表会では図表ミスが多発し、OpenAIらしい「混沌感」も健在でした。

图片


GPT-5の文章作成テスト:理性的すぎる?

生活感のあるライティング性能を試すため、以下のプロンプトを入力しました。

「価格は高いのに料理は不味く、接客も最悪な“映え系レストラン”に行ったときの愚痴をSNS(X/TwitterやInstagramなど)に300字以内で投稿してください。ユーモアと皮肉を交えて。」

GPT-5の出力は、文法的には完璧ですが感情が希薄。

同じプロンプトをGPT-4.5に投げると、皮肉・怒り・ユーモアが絶妙に混ざり、思わず笑ってしまう内容に。 この違いは明確で、GPT-5は感情表現が理性的すぎると言えます。


待たずにGPT-5を使う方法 ― XXAIで即利用可能

「GPT-5を使うにはOpenAI公式で順番待ち?」と思うかもしれませんが、答えは​NO​。 XXAIはすでにGPT-5を統合済みで、さらにGPT-4o、ClaudeGeminiGrokなど主要AIモデルもワンクリックで切替可能です。

  • GPT-5:文章作成、コーディング、リサーチ
  • Claude:文体・トーンの最適化
  • Gemini:画像・マルチモーダルタスク

月額**\$9.9〜**と手頃で、一般ユーザーから開発者まで幅広く利用できます。 私自身もテストのほとんどをXXAI上で行っており、公式より快適にモデルを切替できる点が魅力です。


GPT-5のコーディング能力:予想以上の実力

正直、コーディング面ではあまり期待していませんでしたが、実際のテストでは驚かされました。

テスト内容:

「旅行予算計算ツールを作成。目的地・日数・宿泊予算・1日あたりの支出を入力すると、総予算と提案を表示。」

3つのモデルで比較:

  • Claude 4​:構造は提示したがコードに不備
  ![](data:image/png;base64,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)
  • Gemini 2.5 Pro​:UIは美しいがロジックが不完全
  • GPT-5​:UI、計算ロジック、入力チェックまで含めた完成度の高いコードを生成。追加要望にも即応し、文脈を正確に理解して改修

GPT-5は単なるコード生成ではなく、製品レベルの実装を意識していることが伝わります。


GPT-4時代の魅力とGPT-5時代の成熟

GPT-4は“初めて電灯を灯した瞬間”のような衝撃を与えてくれました。 一方でGPT-5は産業化されたAIです。派手さは減りましたが、安定性・効率・性能が大きく向上。 もはやAIは遊び道具ではなく共創パートナーの時代に突入しました。


まとめ:GPT-5はAI史の分岐点

GPT-5の登場は単なるアップデートではなく、AI史の新たな分岐点です。 推論力・適応力・多様なタスク対応力を備え、私たちの日常やビジネスのあり方を変える可能性を秘めています。

そして、XXAIのようなプラットフォームを通じて、一般ユーザーも今日からこの未来を体験できるのです。