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Web research, fact-checking, information synthesis. Ranked by quality, cost, and real-world performance.
6 models compared · Data powered by Artificial Analysis
Ranked comparison of 6 AI models for research tasks. GPT-5.5 leads on quality (score 60), while Gemini 3 Flash provides the most affordable entry point.
AI models for research need to synthesize information from large documents, maintain accuracy across long conversations, and provide well-structured outputs. Large context windows are particularly valuable here.
Mid-range and premium models offer the best balance for research workflows. They're accurate enough for fact-checking and synthesis while remaining affordable for extended research sessions.
For research agents that run autonomously, pair a capable primary model with a budget subagent for simple lookups and data retrieval tasks.
| # | Model | Tier | Quality | Price (In/Out) | Est. Cost (100/mo) |
|---|---|---|---|---|---|
| 1 | GPT-5.5 OpenAI | Frontier | 60 | $5.00 / $30.00 | $30.00 |
| 2 | Claude Opus 4.7 Anthropic | Frontier | 57 | $5.00 / $25.00 | $26.00 |
| 3 | Gemini 3.1 Pro Google | Frontier | 57 | $2.50 / $15.00 | $15.00 |
| 4 | Grok 4 xAI | Premium | 53 | $3.00 / $15.00 | $15.60 |
| 5 | Gemini 3 Pro Google | Premium | 46 | $2.00 / $12.00 | $12.00 |
| 6 | Gemini 3 Flash Google | Budget | 46 | $0.07 / $0.30 | $0.33 |