Claude-Sonnet-4.5 vs GPT 5.6 Sol: Comparison on Price, Context, and Capabilities
2026-09-27 · 原创·对比选型
Claude-Sonnet-4.5 vs GPT 5.6 Sol: A Comparison and Selection Guide
Basic Parameters
| Dimension | Claude-Sonnet-4.5 | GPT 5.6 Sol |
|-----------|-------------------|-------------|
| Vendor | Anthropic | OpenAI |
| Public Model ID | claude-sonnet-4-5 | gpt-5.6-sol |
| Context Window | 1,000,000 tokens | 1,000,000 tokens |
| Input Price (CNY/M tokens) | ¥42.6 | ¥34 |
| Output Price (CNY/M tokens) | ¥159.75 | ¥204 |
| Modality | chat | chat |
Price Analysis
The two models adopt notably different pricing strategies. Claude-Sonnet-4.5 has a higher input price than GPT 5.6 Sol (¥42.6 vs ¥34) but a significantly lower output price (¥159.75 vs ¥204).
A straightforward calculation reveals that when the output-to-input token ratio falls below approximately 19.4%, GPT 5.6 Sol offers lower total cost. When this ratio exceeds 19.4%, Claude-Sonnet-4.5 becomes more cost-effective.
This means:
- Input-heavy scenarios (e.g., long document analysis, code review, large-scale data reading) favor GPT 5.6 Sol due to its lower input price.
- Output-heavy scenarios (e.g., long-form content generation, extensive code output, multi-step task execution) favor Claude-Sonnet-4.5 due to its lower output price.
Context Window
Both models provide 1,000,000-token context windows, placing them at the same level for long-context processing. Whether handling ultra-long documents, analyzing large codebases, or conducting multi-turn complex conversations, both can meet enterprise-level demands. Both operate in chat modality.
Capability Focus
Based on their official descriptions, the two models share some overlap but also have distinct focuses:
Claude-Sonnet-4.5 covers:
- Programming and code development
- Complex agent development
- Computer operation
- Long-horizon multi-step tasks
- Reasoning and mathematical capabilities
GPT 5.6 Sol covers:
- Deep reasoning
- Professional code development
- Scientific research analysis
Both address code development and reasoning, but Claude-Sonnet-4.5 additionally emphasizes agent development, computer operation, and long-horizon multi-step tasks, while GPT 5.6 Sol focuses more on scientific research analysis as a professional domain.
Selection Recommendations
When to Choose Claude-Sonnet-4.5
If your business involves complex agent development, computer operation automation, or long-horizon multi-step task orchestration, Claude-Sonnet-4.5 is the more suitable choice. Its official positioning explicitly covers these scenarios, and it offers a price advantage in tasks with large output volumes. Typical applications include: automated agent workflows, multi-step task orchestration, and programming assistance requiring extensive output generation.
When to Choose GPT 5.6 Sol
If your core needs are scientific research analysis or input-heavy deep reasoning tasks, GPT 5.6 Sol is more appropriate. Its lower input price suits scenarios involving large-scale input processing with relatively concise output. Typical applications include: long document reading and summarization, scientific literature analysis, and large-scale codebase review.
Budget-Sensitive Selection
For budget-sensitive scenarios, consider the input-output ratio:
- When tasks are primarily large-scale input with minimal output, prioritize GPT 5.6 Sol to leverage its lower input price.
- When tasks require extensive output generation, prioritize Claude-Sonnet-4.5. Its output price is approximately 78% of GPT 5.6 Sol's, offering significant cost advantages in output-intensive tasks.
- When the input-output ratio is approximately 1:1, Claude-Sonnet-4.5 has a slightly lower combined cost.
Conclusion
Both models offer identical context windows. The core differences lie in pricing structure and capability focus. We recommend selecting based on your actual business input-output characteristics and capability requirements. To explore further, visit the model marketplace to review detailed information and trial Claude-Sonnet-4.5 and GPT 5.6 Sol.