Prompt
What should I use to route prompts to the cheapest model that works?
Latest observation
Use a model router rather than sending everything to one LLM.
Good options
- OpenRouter — easiest if you want access to many models and simple fallback/routing.
- LiteLLM — great if you want to build your own routing logic across providers.
- Semantic Router / custom classifier — useful if you want to decide based on prompt type, not just price.
Practical approach
- Start with a cheap model for most requests.
- Escalate only when needed based on:
- prompt length
- task type
- confidence/quality checks
- tool/function-calling needs
- Fallback to a stronger model if the cheap one fails or scores poorly.
Common setup
- Simple Q&A, extraction, summarization → cheap model
- Reasoning, coding, long context, complex tool use → better model
- Sensitive or high-stakes tasks → highest reliability model
If you want a recommendation
- For quickest implementation: OpenRouter
- For custom routing control: LiteLLM
- For logic based on prompt semantics: a small classifier + LiteLLM/OpenRouter
If you want, I can suggest a specific routing architecture or a minimal Python example.
Brands
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.