Best AI models for research and synthesis
Research is not casual chat: you dump PDFs, notes, and clips and want faithful synthesis. Semrush ~1.9K/mo for “best ai for research”. We prioritize long context + models that follow sources.
Models in this collection
| Model | Type | Context | Price |
|---|---|---|---|
 Gemini 2.5 ProGoogle | Chat | 2M tokens | $1.3626/M in · $10.9006/M out |
 Claude Sonnet 5Anthropic | Chat | 1M tokens | $3.2702/M in · $16.3509/M out |
 GPT-5.5OpenAI | Chat | 272k tokens | $5.4503/M in · $32.7018/M out |
| Claude Opus 5Anthropic | Chat | 1M tokens | $5.4503/M in · $27.2515/M out |
 Kimi K3Moonshot (Kimi) | Chat | 1M tokens | $3.2702/M in · $16.3509/M out |
| Gemini 2.5 FlashGoogle | Chat | 1M tokens | $0.327/M in · $2.7251/M out |
| o3-mini (reasoning)OpenAI | Chat | 200k tokens | $1.1991/M in · $4.7963/M out |
 Grok 4.5xAI | Chat | 500k tokens | $2.1801/M in · $6.5404/M out |
Why these models
Gemini Pro and Kimi (1M) to load lots of material; Claude/GPT for clean synthesis; o3-mini when research is more reasoning than reading.
Use them with Geek Hub
One OpenAI-compatible base URL and API key. Swap any model id from this list without rewriting your client.
Get an API keyFAQ
- RAG or long context?
- Small corpus → long-context. Large corpus → RAG (see Models for RAG + Embeddings).
- Citations?
- Ask for citations to chunk/page in the prompt. Always verify; LLMs invent references.
- Multimodal (charts)?
- Use Gemini/Claude with vision (Vision Models collection) for paper figures.