Full comparison on pricing, capabilities, and context length — pick the right model for your use case
Anthropic 旗舰最强模型,擅长深度推理、复杂规划、长文档多步分析。在对抗性 benchmark、创意写作、复杂代码重构上全面领先,适合对质量要求显著高于成本的关键场景。
Input
$4.50
Output
$22.50
Anthropic's flagship value model — widely regarded as the strongest coding assistant. The recommended model for Cursor, Claude Code, and Cline, with industry-leading code accuracy and instruction-following.
Input
$2.70
Output
$13.50
💰 Budget priority
Claude Sonnet 4.6 is cheaper on output pricing. For output-heavy workloads (code generation, content creation), the price gap materially affects monthly cost.
📚 Long documents / large context
Claude Sonnet 4.6 has the larger context window (200K). Pick it for large codebases, long-form novels, or legal contracts.
💡 Hands-on recommendation
Sign up for Nodebyt to call both models with a single API key — just swap the `model` parameter. A $2 top-up is more than enough for side-by-side evaluation.
Q: What's the difference between Claude Opus 4.6 and Claude Sonnet 4.6?
A: Claude Opus 4.6 (Anthropic) and Claude Sonnet 4.6 (Anthropic) each have their own strengths in pricing, context length, and capability. Claude Opus 4.6: input $4.50/M, context 200K. Claude Sonnet 4.6: input $2.70/M, context 200K. Choose based on your task profile and budget.
Q: Which is cheaper — Claude Opus 4.6 or Claude Sonnet 4.6?
A: By output price: Claude Sonnet 4.6 is cheaper ($13.50/M).
Q: Can I use Claude Opus 4.6 and Claude Sonnet 4.6 together?
A: Yes. With Nodebyt, a single API key works across all supported models — just switch the `model` parameter in your code, no separate account required. Ideal for apps that need different models for different scenarios.
Q: Which is better for coding — Claude Opus 4.6 or Claude Sonnet 4.6?
A: Check the capability table above for each model's support. Claude Sonnet is widely regarded as the strongest coding model, GPT-5 is well-rounded, and DeepSeek offers standout value. We recommend trying both before committing.
Free trial credits on signup. Switch models by changing one line of code.
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