claude-haiku-4-5 vs gemini-2.5-flash
gemini-2.5-flash is about 70% cheaper per 1M input tokens on CaMeL Hub.
| claude-haiku-4-5 | gemini-2.5-flash | |
|---|---|---|
| Provider | Anthropic | |
| per 1M input tokens | $1.00 | $0.3 |
| per 1M output tokens | $5.00 | $2.4999998999999997 |
| Context window | 200000 tokens | 1048576 tokens |
| Capabilities | streaming | streaming, vision, function-calling |
When to use which
claude-haiku-4-5
Claude Haiku 4.5 is Anthropic's fastest, most cost-efficient Claude model. Call it on CaMeL Hub through the OpenAI-compatible API (base_url https://api.camel-hub.com/v1) at $1 per 1M input tokens and $5 per 1M output tokens — no separate Anthropic account needed, one API key covers every model on the platform.
- High-volume text classification, intent detection, and content routing where per-call cost dominates
- Real-time chat assistants and autocomplete, where sub-second first-token latency matters more than deep reasoning
- Structured data extraction from long documents — the 200K context takes whole contracts or logs in one request
- Summarizing support tickets, meeting notes, and email threads at scale
gemini-2.5-flash
Gemini 2.5 Flash is Google's price-performance workhorse: a fast hybrid-reasoning model with a 1,048,576-token context window. On CaMeL Hub you call it with any OpenAI-compatible SDK — just set base_url to https://api.camel-hub.com/v1 — at $0.30 per 1M input tokens and $2.50 per 1M output tokens, metered pay-as-you-go.
- Bulk document summarization — digest 100+ page reports, contracts or wikis in one request using the 1M-token window
- Customer-facing chatbots where response latency matters and function calling drives lookups (order status, account data)
- Structured extraction from images: invoices, receipts, screenshots and scanned forms into JSON via vision input
- Agent tool-use loops — routing, retrieval and multi-step function calling where per-step cost must stay low