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Claude Opus vs GPT-5 for Customer Service: Which Model Performs Better?

Compare Claude Opus and GPT-5 specifically for customer service applications on quality, speed, cost, and safety.

Claude Opus

Anthropic's most advanced model focused on safety, nuanced answers, and a broad context window — ideal for sensitive customer service contexts.

GPT-5

OpenAI's flagship model with strong reasoning, multi-modal capabilities, and broad tool integration — powerful for diverse customer service scenarios.

Comparison table

FeatureClaude OpusGPT-5
Tone of voiceExcellent — nuanced, empathetic, brand-consistentVery good — flexible but requires more prompting
SafetyConstitutional AI — avoids harmful outputRLHF with guardrails — good but less conservative
CostPremium — Opus is the most expensive Claude modelPremium — GPT-5 is comparably priced
SpeedSlower — more tokens per responseFaster for comparable answers
Context window200K tokens — entire knowledge base in context128K tokens — large but smaller

Verdict

Claude Opus excels in nuanced, safe customer service — especially for sensitive topics. GPT-5 is faster and more versatile with multi-modal capabilities. For most customer service applications, both are excellent; Claude Opus for nuance, GPT-5 for speed.

Our recommendation

OpenClaw Installeren recommends Claude Sonnet (not Opus) as the default for customer service — it offers 90% of Opus quality at a fraction of the cost. Need maximum quality? Then Claude Opus is our recommendation. GPT-5 is ideal if you also need image recognition.

Further reading

Claude vs GPT-5Gemini vs Claude

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Frequently asked questions

Opus is the best model for sensitive customer service, but Claude Sonnet offers comparable quality for most applications at lower cost. We recommend Sonnet as default and Opus for premium use cases.
Both models can hallucinate. Claude Opus is slightly more conservative and more often indicates when it doesn't know something. With OpenClaw's knowledge base integration, hallucinations are greatly reduced for both models.
In OpenClaw, you can set a default model and configure a different model for specific use cases. Dynamic switching per conversation is possible via advanced configuration.

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