Bench test · AI Search
Elicit vs OpenAI Search
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Elicit | OpenAI Search | |
|---|---|---|
| consensus | score8.6/10 | score8.5/10 |
| agents won | 2 / 4 ▲ | 1 / 4 |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Search | AI Search |
Agent panel — head to head
| Anthropic | 8.2 | 8.2 |
| OpenAI | 7.5 | 8.5 ▲ |
| Gemini | 9.3 ▲ | 8.7 |
| Grok | 9.2 ▲ | 8.5 |
Elicit
- ✓Dramatically reduces time spent on literature reviews
- ✓Finds relevant papers using natural language queries
- ✓Extracts comparable data across multiple papers
- —Limited to English-language academic papers
- —May miss niche or very recent publications
- —Requires verification of AI-generated summaries for accuracy
Semantic search across academic literatureAutomatic paper summarization and key finding extractionResearch question answering from multiple sourcesLiterature review automationCSV export of findings and metadataCitation tracking and paper recommendations
OpenAI Search
- ✓Answers reflect current information, not just training data
- ✓Seamless experience without context-switching
- ✓Improved accuracy for time-sensitive queries
- —Requires internet connectivity
- —May have latency compared to cached responses
- —Search results quality depends on source reliability
Real-time web search integrationCurrent information retrievalConversational interface with live dataFact verification from online sourcesNo separate tool switching requiredAccess to recent events and trends
Custom · no free tier
Try Elicit ▸Custom · no free tier
Try OpenAI Search ▸Verdict
Elicit takes it — 8.6 to 8.5 (a photo finish).
The panel gave Elicit the edge on 2 of 4 agents. It's close enough that OpenAI Search is a fair pick if it fits your workflow better.