gemini-3.5-flash vs gpt-5.4-mini
gpt-5.4-mini is about 63% cheaper per 1M input tokens on CaMeL Hub.
| gemini-3.5-flash | gpt-5.4-mini | |
|---|---|---|
| Provider | OpenAI | |
| per 1M input tokens | $1.5 | $0.5625 |
| per 1M output tokens | $9.00 | $3.375 |
| Context window | 1048576 tokens | 400000 tokens |
| Capabilities | streaming, vision | streaming, vision, reasoning, function-calling |
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 — 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 — 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-5.4-mini
gpt-5.4-mini is OpenAI's fast, budget-tier reasoning model with a 400K context window. Call it on CaMeL Hub with any OpenAI SDK — just set base_url to https://api.camel-hub.com/v1 — at $0.5625 per 1M input tokens and $3.375 per 1M output tokens.
- High-volume chatbot and customer-support backends where per-token cost, not peak intelligence, decides the architecture
- Long-document summarization and structured data extraction — contracts, transcripts, or report bundles fit in the 400K context window without chunking
- Agentic pipelines and tool-calling workers: reliable function calling at a price that makes multi-step agent loops affordable
- Screenshot, chart, and UI understanding at scale using image input, e.g. automated QA on rendered pages