AI RACE— The AI Race
AIモデル

Claude Opus 5

Anthropic

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リリース2026/07
生成速度0 トークン/秒
初動レイテンシ (TTFT)0.00s
入力料金$5/1M
出力料金$25/1M

ランキング

#7
AIM 88.0最高順位: 第1位首位獲得 1週
#3
AIM 94.8最高順位: 第2位
#9
AIM 96.0最高順位: 第2位
#5
AIM 96.5最高順位: 第1位首位獲得 1週

レビュー

Opus 5 is a premier all-around model for agent-driven and conversation-heavy workloads. Designed for those who prioritize quality, autonomy, and nuanced outputs over cost or speed — ideal for presales, automation, and deep analysis.

長所

  • Market-leading general conversation — nuanced, contextual, and human-like across all conversational scenarios
  • Ranked #1 for autonomous AI agents — excels at complex tasks, autonomous decision-making, and multi-step planning with high independence
  • Deep reasoning and strong logical analysis — tackles structured problems and long reasoning chains with minimal logical fallacies
  • 200k-token context window — ample for large codebases, lengthy documents, and single-prompt multi-document analysis

短所

  • Ranked #2 in coding — not the optimal choice for purely code-focused work (lower coding benchmarks than #1)
  • Highest price in its class — not a cost-effective choice for high throughput or batch processing
  • Slow inference speed — not suitable for latency-critical applications or real-time assistants

ユースケース

AI agent automation & orchestration — automated workflows, complex task planning, and multi-step decision-makingPresales consultation & analysis — deep-dive proposals, technical assessments, and multi-faceted client communicationComplex reasoning & strategic planning — business analysis, scenario modeling, and comprehensive deduction

ガイド・動画

Claude Opus 5 is a powerful AI model from Anthropic, accessible via https://claude.ai or Claude Code. It features Effort Levels (5 tiers) to control costs — use low settings for simple tasks and high settings for complex problems. Opus 5 is particularly effective for coding, data analysis, and knowledge work. Tip: provide the full codebase/context rather than snippets for best results, as its context window scales up to 1M tokens.

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