---
title: "Choose a Research Model"
type: guide
id: "choose-a-research-model"
description: "A decision playbook for choosing a model for research, synthesis, long-document analysis, evidence review, and structured summaries."
last_updated: "2026-04-24"
tags:
- "research"
- "models"
- "playbook"
- "analysis"
- "long-context"
---
# Choose a Research Model
Research models need reasoning, long context, reliable synthesis, and good writing. The best choice depends on whether the bottleneck is quality, context size, price, or source handling.
## Short Answer
Use [GPT-5.4 Thinking](/models/gpt-5.4-thinking) for hard reasoning, [Claude Opus 4.6](/models/claude-opus-4.6) for careful synthesis and writing, [Gemini 3.1 Pro](/models/gemini-3.1-pro) for long-context proprietary work, and [DeepSeek R1](/models/deepseek-r1) or [Qwen 3.5](/models/qwen-3.5) when open-source reasoning matters.
## Decision Rules
| Situation | Pick | Why |
|-----------|------|-----|
| Deep reasoning | GPT-5.4 Thinking | Highest reasoning emphasis in this dataset |
| Careful synthesis | Claude Opus 4.6 | Strong reasoning and writing |
| Long context | Gemini 3.1 Pro or Claude Opus 4.6 | Large context options |
| Budget research | DeepSeek R1 | Low-cost reasoning option |
| Multilingual research | Qwen 3.5 or Gemini 3.1 Pro | Strong multilingual signals |
| Fast summarization | Gemini 3 Flash or Claude Haiku 4.5 | Lower-cost fast options |
## Research-Specific Checks
- Does the model preserve uncertainty?
- Can it separate source claims from inference?
- Does it handle long documents without losing chronology?
- Can it produce structured notes, not just prose?
- Is the task sensitive enough to require private/local deployment?
## Agent Workflow
1. Fetch `/api/v1/recommend/research.json`.
2. If the user has a privacy constraint, compare against `/api/v1/recommend/local.json`.
3. Fetch per-item JSON for top candidates.
4. Prefer models with strong reasoning and writing scores.
5. Ask for source constraints when the user needs citations or current facts.
## Failure Mode
The common mistake is treating summarization and research as the same task. Summarization compresses a known document. Research compares uncertain sources and should preserve provenance.
Choose a Research Model
Research models need reasoning, long context, reliable synthesis, and good writing. The best choice depends on whether the bottleneck is quality, context size, price, or source handling.
Short Answer
Use GPT-5.4 Thinking for hard reasoning, Claude Opus 4.6 for careful synthesis and writing, Gemini 3.1 Pro for long-context proprietary work, and DeepSeek R1 or Qwen 3.5 when open-source reasoning matters.
Decision Rules
| Situation |
Pick |
Why |
| Deep reasoning |
GPT-5.4 Thinking |
Highest reasoning emphasis in this dataset |
| Careful synthesis |
Claude Opus 4.6 |
Strong reasoning and writing |
| Long context |
Gemini 3.1 Pro or Claude Opus 4.6 |
Large context options |
| Budget research |
DeepSeek R1 |
Low-cost reasoning option |
| Multilingual research |
Qwen 3.5 or Gemini 3.1 Pro |
Strong multilingual signals |
| Fast summarization |
Gemini 3 Flash or Claude Haiku 4.5 |
Lower-cost fast options |
Research-Specific Checks
- Does the model preserve uncertainty?
- Can it separate source claims from inference?
- Does it handle long documents without losing chronology?
- Can it produce structured notes, not just prose?
- Is the task sensitive enough to require private/local deployment?
Agent Workflow
- Fetch
/api/v1/recommend/research.json.
- If the user has a privacy constraint, compare against
/api/v1/recommend/local.json.
- Fetch per-item JSON for top candidates.
- Prefer models with strong reasoning and writing scores.
- Ask for source constraints when the user needs citations or current facts.
Failure Mode
The common mistake is treating summarization and research as the same task. Summarization compresses a known document. Research compares uncertain sources and should preserve provenance.