deepseek-v4-pro vs glm-5.2
deepseek-v4-pro is about 63% cheaper per 1M input tokens on CaMeL Hub.
| deepseek-v4-pro | glm-5.2 | |
|---|---|---|
| Provider | DeepSeek | Zhipu AI |
| per 1M input tokens | $3.00 | $8.00 |
| per 1M output tokens | $6.00 | $28.00 |
| Context window | 1000000 tokens | 1000000 tokens |
| Capabilities | streaming, reasoning | streaming |
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
glm-5.2
GLM-5.2 is Zhipu AI's flagship open-weights model for long-horizon coding and agentic work. Call it on CaMeL Hub via the OpenAI-compatible API β base_url https://api.camel-hub.com/v1, model "glm-5.2" β at $8 per 1M input tokens and $28 per 1M output tokens, with no subscription required.
- Multi-file refactoring across a large codebase: load the relevant packages into the 1M-token context and have the model apply a rename or API migration consistently in one pass.
- Long-horizon agentic coding sessions in tools like Cline or Cursor, where the model must keep a plan coherent across dozens of edit-test iterations.
- Whole-repository code review and bug triage: paste the diff plus surrounding modules and get findings grounded in the actual call sites rather than snippets.
- Reproducing a research paper or turning a detailed spec into a working implementation, a scenario Z.ai explicitly optimizes GLM-5.2 for.