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Claude Opus 4

AnthropicLarge Language ModelProprietary

Anthropic's most capable model, excelling at complex analysis, nuanced writing, coding, and multi-step reasoning. Known for strong safety alignment.

Abilities

Text GenerationCode GenerationReasoningVisionFunction CallingStructured OutputLong ContextMultilingual

Use Cases

Coding AssistantResearchContent WritingData AnalysisEnterpriseCreative

Available in Tools

Claude Codehttps://docs.anthropic.com/en/docs/claude-code
Claude Desktophttps://claude.ai/download
Cursorhttps://cursor.com
Windsurfhttps://codeium.com/windsurf
Amazon Q Developerhttps://aws.amazon.com/q/developer/
Zed Editorhttps://zed.dev

Availability

APIhttps://console.anthropic.com
Claude Webhttps://claude.ai
Claude Mobile
Amazon Bedrock
Google Vertex AI

How to Use

Use the Anthropic Messages API with model ID `claude-opus-4-8`. Also available through Claude apps or cloud partners (AWS Bedrock, Google Vertex AI, Microsoft Foundry).

Pros

  • Exceptional at complex, multi-step reasoning — consistently outperforms on nuanced analysis tasks
  • Industry-leading safety alignment — less likely to produce harmful, biased, or misleading content
  • 1M token context window with 128K max output — processes full codebases and book-length documents
  • Excellent at long-form, nuanced writing — editorial, academic, and technical documentation
  • Claude Code CLI enables autonomous coding — can write, test, and commit code end-to-end
  • Available on AWS Bedrock, GCP Vertex AI, and Microsoft Foundry for enterprise deployments
  • Adaptive thinking support — applies deeper reasoning automatically when needed

Cons

  • Expensive at $5/$25 per 1M tokens — costlier than Sonnet 5 for high-volume use
  • Closed source — no model weights or training details available
  • Slower response times than Sonnet/Haiku — not ideal for real-time chat applications
  • Can be overly cautious — sometimes refuses benign requests due to safety filters
  • No native web browsing or real-time data access

What to Use It For

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Perfect For

Complex analysis requiring nuance (legal, medical, academic)

Strongest at understanding subtle distinctions and producing carefully reasoned analysis

Long-form writing (reports, documentation)

Produces well-structured, nuanced prose that maintains quality across many pages

Autonomous coding via Claude Code

Can write, test, debug, and commit code end-to-end with minimal supervision

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Good For

Multi-step agentic workflows

Strong instruction following and tool use enable reliable multi-step task execution

Code review

Catches subtle bugs, security issues, and architectural problems that faster models miss

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Not Recommended

High-volume classification

At $5/1M input tokens it is too expensive for bulk categorization tasks — Haiku is 5x cheaper

Try instead: Claude Haiku 4.5

Latency-sensitive real-time chat

Slower response times than Sonnet — users notice the delay in interactive conversations

Try instead: Claude Sonnet 4

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Do Not Use For

Generating images

It is a text-only LLM — has no image generation capabilities whatsoever

Try instead: DALL-E 3, FLUX.1

Tasks requiring real-time web access

No native web browsing — knowledge is frozen at training cutoff date

Try instead: Grok 3

Technical Details

Pricing$5 / 1M input tokens, $25 / 1M output tokens
ParametersUndisclosed
detail.contextWindow1M tokens (128K max output)

Links

language Website description API Documentation