What are the best AI models for research and reasoning?
Asked "What are the best AI models for research and reasoning?", ChatGPT, Copilot, Gemini, Google AI Mode and Perplexity named 24 different names on September 9, 2026 across 42 observations, and all 5 engines agreed on Anthropic, the only name every engine named.
Measured September 9, 2026 · 42 observations · 5 engines
The best AI models for research and reasoning include Claude Opus/Claude family, OpenAI's GPT-series, and Google's Gemini, each excelling in different domains such as multi-step reasoning, mathematical proofs, and massive context synthesis. The choice of model depends on the specific task type, context length, and required strengths. Other notable models include Perplexity AI, Consensus, and Elicit, which are suited for particular subskills like long-form analysis, factual consistency, or current-information grounding.
- 1Anthropic
- 2OpenAI
- 3Google
- 4Claude
- 5Gemini
- 6NotebookLM
- 7Claude Opus
- 8GPT
- 9GPT-5.2
- 10Claude Opus 4.5
- 11GPT-5
- 12GPT-5.4
- 13GPT-series
- 14Gemini 3 Pro
- 15ChatGPT
- 16Consensus
- 17DeepSeek V3.1 Terminus
- 18Perplexity AI
- 19Elicit
- 20xAI
- 21Grok 4.1
- 22Meta
- 23Llama
- 24DeepSeek-R1
The full measurement
- The position each of the 5 engines gave all 24 names.
- 42 sampled observations behind this ranking, and where the engines disagree.
- Fan-out — the query each engine actually searched.
- Every citation, and the sources nobody cited.