gemini-3.5-flash vs gpt-5.5
gemini-3.5-flash is about 60% cheaper per 1M input tokens on CaMeL Hub.
| gemini-3.5-flash | gpt-5.5 | |
|---|---|---|
| Provider | OpenAI | |
| per 1M input tokens | $1.5 | $3.75 |
| per 1M output tokens | $9.00 | $22.5 |
| Context window | 1048576 tokens | 1050000 tokens |
| Capabilities | streaming, vision | streaming, vision |
When to use which
gemini-3.5-flash
Gemini 3.5 Flash is Google's fast frontier multimodal model. On CaMeL Hub it costs $1.50 per 1M input tokens and $9.00 per 1M output tokens β call it with any OpenAI SDK by pointing base_url at https://api.camel-hub.com/v1 and requesting model "gemini-3.5-flash". No Google Cloud account or region setup required: top up, create a key, and start streaming.
- Agentic coding assistants that keep a whole repository in context across long multi-step editing sessions
- Long-document analysis β summarizing or cross-referencing hundreds of pages of reports, contracts, or transcripts in one request
- UI screenshot understanding: turning app screens, dashboards, and design mockups into structured descriptions or test assertions
- Chart, diagram, and scanned-table extraction from images into JSON or Markdown
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