Which Model for Which Use Case?
Complex Multi-Step Reasoning
Opus 4.8 excels at nuanced analysis, legal/financial reasoning, and creative writing. Its premium reasoning capabilities handle complex multi-step tasks that require deep understanding and careful judgment.
Code Generation
Sonnet 4.6 is fast, accurate, and cheaper for code generation, chatbots, and RAG pipelines. For most coding workloads, Sonnet delivers excellent quality at 40% of Opus 4.8's cost.
Long-Document Analysis
Opus 4.8's 1M context window is 5x larger than Sonnet's 200K. Ideal for analyzing massive documents, codebases, or long multi-turn conversations without losing context.
Cost-Sensitive Production
For production workloads where cost matters, Sonnet 4.6 delivers excellent quality at 40% of Opus 4.8's price. For most production use cases, Sonnet-class models are sufficient.
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Frequently Asked Questions
Is Opus 4.8 worth the price premium over Claude 4 Sonnet?
Depends on your needs. Opus 4.8 costs 67% more ($5/$25 vs $3/$15) but offers 5x more context (1M vs 200K). For complex reasoning, long documents, and premium quality tasks, the upgrade is justified. For most production workloads, Sonnet-class models are sufficient.
What are the key differences between Sonnet and Opus 4.8?
Opus 4.8: $5/$25, 1M context, premium reasoning, complex multi-step tasks. Sonnet 4.6: $3/$15, 200K context, excellent for most tasks. Opus excels at nuanced analysis, legal/financial reasoning, and creative writing. Sonnet is faster and cheaper for code, chatbots, and RAG.
How does Opus 4.8 compare to other Claude 4 alternatives?
Opus 4.8 ($5/$25, 1M) is the premium Anthropic option. GPT-5.5 Pro ($30/$180, 1.05M) is 6x more expensive. Gemini 3.1 Pro ($1.25/$10, 2M) is 75% cheaper with more context. Llama 4 Maverick ($0.27/$0.85, 1M) is 95% cheaper but open source.
Should I migrate from Claude 4 Sonnet to Opus 4.8 or a different provider?
Stay in Anthropic ecosystem if: quality matters most, you need complex reasoning, or you're already using Anthropic SDK. Switch providers if: cost is primary concern (try Gemini 3.1 Pro or GPT-5), you need maximum context (Gemini 3.1 Pro at 2M), or you want open source (Llama 4 Maverick).
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