deepseek-v4-flash vs gemini-3-flash
gemini-3-flash is about 50% cheaper per 1M input tokens on CaMeL Hub.
| deepseek-v4-flash | gemini-3-flash | |
|---|---|---|
| Provider | DeepSeek | |
| per 1M input tokens | $1.00 | $0.5 |
| per 1M output tokens | $2.00 | $3.00 |
| Context window | 1000000 tokens | 1048576 tokens |
| Capabilities | streaming, function-calling | streaming, vision, 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
gemini-3-flash
Gemini 3 Flash is Google's fast, budget-priced frontier model with a 1M-token context window. Call it on CaMeL Hub with any OpenAI SDK — base_url https://api.camel-hub.com/v1, model gemini-3-flash — at $0.50 per 1M input tokens and $3.00 per 1M output tokens.
- Whole-document analysis: feed contracts, research papers, or financial filings up to ~1M tokens and extract summaries, clauses, or figures in one pass
- RAG applications with large retrieved contexts, where the $0.50/1M input price keeps per-query cost low even with aggressive context stuffing
- High-volume customer support and chat automation where per-reply cost and low latency matter more than maximum reasoning depth
- Vision tasks such as reading screenshots, charts, scanned invoices, and UI states for QA or data-entry automation