Web-Search

OpenAI can search. Perplexity is search. EasyRouterAI is open-weight models with Perplexity-style search turned on by default — one OpenAI-compatible endpoint, crypto billing, no subscription. If you’ve built anything with search-grounded LLMs, you already know the trade-offs. Perplexity makes search the product — but you’re inside their model lineup. OpenAI has web search via its Responses API — but you’re inside the OpenAI billing stack and the OpenAI model family. Want to swap in DeepSeek V4 for a reasoning-heavy task, or Qwen3.8-Max for long-context retrieval, and keep advanced search on? You’re stitching providers together yourself. ...

If you already use the OpenAI Python SDK, you already know how to call a model: from openai import OpenAI client = OpenAI( api_key="sk-or-...", base_url="https://api.openai.com/v1" ) response = client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": "What changed in EU AI regulation this week?"}] ) print(response.choices[0].message.content) Now add one thing: live web search. With most OpenAI-compatible gateways, you don’t need tools, a search key, or an agent loop. You only change the base_url. ...

If you’re building with DeepSeek, Qwen, or GLM outside China, you’ve probably wondered: does using a Chinese open-weight model mean my users get Chinese search results? Short answer: no — but only if the search source is separate from the model. The confusion is understandable. Most developers assume “the model” and “the search” come from the same place. They don’t. Here’s what’s actually happening, and how to control it. The model does reasoning. The search source decides what it reads. An open-weight model — whether DeepSeek V4, Qwen3.8, or GLM-5.3 — is a set of weights. It doesn’t “search the internet” on its own. When a response includes web results, those results were fetched by a separate search layer and injected into the model’s context window before it generates text. ...