deepseek-v4-pro vs gpt-5.5
deepseek-v4-pro is about 20% cheaper per 1M input tokens on CaMeL Hub.
| deepseek-v4-pro | gpt-5.5 | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| per 1M input tokens | $3.00 | $3.75 |
| per 1M output tokens | $6.00 | $22.5 |
| Context window | 1000000 tokens | 1050000 tokens |
| Capabilities | streaming, reasoning | streaming, vision |
When to use which
deepseek-v4-pro
deepseek-v4-pro is DeepSeek's flagship reasoning model with a 1M-token context window. On CaMeL Hub you call it through the OpenAI-compatible API at https://api.camel-hub.com/v1 for $3 per 1M input tokens and $6 per 1M output tokens β one API key, no separate DeepSeek account required.
- Reviewing an entire repository in one request β load hundreds of source files into the 1M-token context and ask for cross-file bug analysis or a refactoring plan
- Multi-step math, logic, and algorithm problems where thinking mode's deliberate reasoning beats fast pattern-matching answers
- Contract, filing, or research-corpus analysis: feed book-length documents whole instead of chunking them through a retrieval pipeline
- Producing very long structured deliverables β full technical specs, audit reports, or complete documentation β within the up-to-384K-token output budget
gpt-5.5
GPT-5.5 is OpenAI's flagship general-purpose model with a 1,050,000-token context window. Call it on CaMeL Hub via the OpenAI-compatible API (base_url https://api.camel-hub.com/v1) at $3.75 per 1M input tokens and $22.50 per 1M output tokens.
- Whole-repository code review and multi-file refactoring β load hundreds of source files into one prompt and get consistent, cross-file changes
- Contract and due-diligence analysis over document sets that approach the 1M-token window, with clause-level citations
- Screenshot and diagram understanding: feed UI captures, architecture diagrams, or chart images and get structured findings
- Long-form technical writing and editing β drafting or revising documentation and reports up to the 128K output ceiling