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AI 模型

Claude Opus 5

Anthropic

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發布日期2026/07
推論速度0 tokens/s
首字延遲時間0.00s
輸入價格$5/1M
輸出價格$25/1M

排名表現

#7
AIM 88.0最高排名 #1蟬聯榜首 1 週
#3
AIM 94.8最高排名 #2
#9
AIM 96.0最高排名 #2
#5
AIM 96.5最高排名 #1蟬聯榜首 1 週

評測分析

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.

強項

  • 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

弱項

  • 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

適用情境

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

指南與影片

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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