deepseek-v4-flash vs gpt-5.4-mini
gpt-5.4-mini is about 44% cheaper per 1M input tokens on CaMeL Hub.
| deepseek-v4-flash | gpt-5.4-mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| per 1M input tokens | $1.00 | $0.5625 |
| per 1M output tokens | $2.00 | $3.375 |
| Context window | 1000000 tokens | 400000 tokens |
| Capabilities | streaming, function-calling | streaming, vision, reasoning, function-calling |
When to use which
deepseek-v4-flash
deepseek-v4-flash is DeepSeek's fast, budget-tier V4 chat model. On CaMeL Hub it costs $1 per 1M input tokens and $2 per 1M output tokens via the OpenAI-compatible API — point base_url to https://api.camel-hub.com/v1, keep your existing SDK code, and you are live. It supports streaming and function calling and handles a 1M-token context window.
- High-volume summarization and classification pipelines where per-request cost dominates the budget
- Customer-support and product chatbots that need fast streamed replies at predictable per-token cost
- Agent tool-calling loops: v4-flash's function calling drives multi-step agents without frontier-model pricing per iteration
- Structured data extraction — turning invoices, logs, or scraped pages into typed JSON via function-call schemas
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