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Dense Japanese tech infographic about [CLAUDE OPUS 4.8] and market reaction, styled as an editorial slide. Format: portrait 2:3 infographic, off-white graph-paper background with faint grid lines, orange and black headline branding, rounded rectangular cards, thin gray dividers, orange section headers, small flat icons, and compact Japanese typography with a clean business-tech newsletter layout. Top header: Large black title “[CLAUDE OPUS 4.8]” with an orange radial starburst logo at far left. To the right, an orange Japanese headline: “[最新情報・市場反応マップ]”. Underneath, a smaller Japanese subtitle: “公式発表＋Xサーチ統合：派手なAGI宣言ではなく、長時間エージェント実務の信頼性アップに市場が反応”. Overall layout: Exactly 7 numbered main sections with orange circular badges and orange title bars. Sections 1–3 across the upper third, sections 4–6 in the middle, section 7 and a workflow strip across the bottom. Section 1 (top left, “発表の中身 — Opus 4.7からの実務寄りアップグレード”): 6 stacked spec rows with square black line icons on the left and labels/values on the right: 1) API ID: “claude-opus-4-8”; 2) Bedrock ID: “anthropic.claude-opus-4-8”; 3) 通常価格: orange pills “$5 / $25 per MTok” and note “Opus 4.7から据え置き”; 4) Fast mode: orange “2.5× speed” and pills “$10 / $50 per MTok”, note “従来Fast比で3分の1”; 5) Context window: orange pill “1M tokens”; 6) Max output: orange pill “128k tokens”; bottom small row: “Reliable knowledge cutoff / training data cutoff” with date “[Jan 2026]”. Section 2 (top center, “公式ベンチマーク比較”): Comparison table with 4 columns labeled “Opus 4.8” (orange), “Opus 4.7” (gray), “GPT-5.5” (blue), and “Gemini 3.1 Pro” (green). Exactly 7 benchmark rows with mini horizontal bars and crown icons where Opus 4.8 leads: 1) Agentic coding / SWE-Bench Pro: 69.2%, 64.3%, 58.6%, 54.2%; 2) Agentic terminal coding / Terminal-Bench 0.1: 74.6%, 66.1%, 78.2%, 70.3%; 3) Multidisciplinary reasoning / Humanity’s Last Exam no tools: 49.8%, 46.9%, 41.4%, 44.4%; 4) Multidisciplinary reasoning / Humanity’s Last Exam with tools: 57.9%, 54.7%, 52.2%, 51.4%; 5) Agentic computer use / OSWorld-Verified: 83.4%, 82.8%, 78.7%, 76.2%; 6) Knowledge work / GDPval-AA: 1890, 1753, 1769, 1314; 7) Agentic financial analysis / Finance Agent v2: 53.9%, 51.5%, 51.8%, 43.0%. Small Japanese footnote beneath. Section 3 (top right, “Xで刺さった価値”): 4 stacked insight cards with icons: 1) orange target icon, “判断の鋭さ”; 2) green clock icon, “長時間エージェント”; 3) green building icon, “企業利用”; 4) orange tag icon, “価格据え置き”. Section 4 (middle left, “市場反応 — 3つの温度帯”): 3 sentiment bands: green “ポジティブ（グリーン）” with smiling icon; yellow “プラクティカル（イエロー）” with neutral icon; red “スケプティカル（レッド）” with sad icon; plus bottom summary row: “全体はポジティブ寄りだが、初動不満も明確。” Section 5 (middle center, “競争地図”): Quadrant map with vertical axis “高性能・高信頼性” to “低コスト・高速”, horizontal axis “汎用／会話寄り” to “実務・長時間タスク寄り”. 3 model cards: blue “GPT-5.5” (upper-left/center), orange “Claude Opus 4.8” (upper-right), green “Gemini 3.1 Pro” (lower-left). Bottom ribbon: “最強1択ではなく用途別使い分け”. Section 6 (middle right, “Anthropic 企業価値ストーリー”): Top pink card “市場会話（X上の拡散）” with funding numbers “$65B 調達”, “$965B post-money”, “$47B revenue run-rate”. Bottom green card “公式一次情報（Anthropic / 公式発表）” with two assessment bullet points. Section 7 (bottom left, “よっしー向け実務示唆”): 4 bullet rows with colored icons: green check “使うなら”, yellow warning “避けるなら”, red exclamation “やらないリスク”, blue clipboard “導入方針”. Bottom workflow strip (bottom right): Titled “推奨ワークフロー（Shadow比較で学習・最適化）”. 5 connected process steps: 1) “タスク定義”, 2) “実行（並走）”, 3) “評価・計測”, 4) “比較・分析”, 5) “改善・定着”. Bottom metrics ledger with 5 chips: “失敗率”, “修正回数”, “token burn（コスト）”, “完了率”, “所要時間”.