Full comparison on pricing, capabilities, and context length — pick the right model for your use case
OpenAI's flagship model, surpassing the GPT-4 family across the board. Stronger reasoning, faster response, native multimodal input. An all-purpose choice for everyday chat and creative generation.
Input
0.143 金币
Output
0.857 金币
modelMeta.model.claude-sonnet-4-6.description
Input
0.429 金币
Output
2.143 金币
💰 Budget priority
GPT-5.6 Luna is cheaper on output pricing. For output-heavy workloads (code generation, content creation), the price gap materially affects monthly cost.
📚 Long documents / large context
GPT-5.6 Luna has the larger context window (400K). Pick it for large codebases, long-form novels, or legal contracts.
💡 Hands-on recommendation
Sign up for PioModel 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 GPT-5.6 Luna and Claude Sonnet 4.6?
A: GPT-5.6 Luna (OpenAI) and Claude Sonnet 4.6 (Anthropic) each have their own strengths in pricing, context length, and capability. GPT-5.6 Luna: input $0.143 金币/M, context 400K. Claude Sonnet 4.6: input $0.429 金币/M, context 200K. Choose based on your task profile and budget.
Q: Which is cheaper — GPT-5.6 Luna or Claude Sonnet 4.6?
A: By output price: GPT-5.6 Luna is cheaper ($0.857 金币/M).
Q: Can I use GPT-5.6 Luna and Claude Sonnet 4.6 together?
A: Yes. With PioModel, 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 — GPT-5.6 Luna 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.