Best AI models for research and analysis
Synthesis across many sources, reports and data analysis over large corpora.
Criteria models with at least 1,000,000 tokens of context, ranked by the LLM Stats overall index.
- 01Claude Opus 5.5Anthropic59.9LLM Stats index
- 02Claude Sonnet 5.5Anthropic57.9LLM Stats index
- 03GPT-6 AstraOpenAI57.3LLM Stats index
How it is calculated
- The indexes (overall, reasoning, coding) are the ones LLM Stats publishes; Codifly does not run these tests.
- Prices are each provider's official standard API prices, without caching or batching.
- The blended price weighs 3 input tokens per output token; cost-benefit divides the overall index by that price.
Which one fits your case?
The top of a ranking is not always the most cost-effective at your volume. Estimate your cost or ask us for a written recommendation.
Frequently asked questions
Which is the best AI model for research & analysis?
Claude Opus 5.5 (59.9) leads this ranking, followed by Claude Sonnet 5.5 (57.9) · GPT-6 Astra (57.3). Data reviewed on Nov 4, 2026.
Which model in this ranking has the best price-performance?
Claude Haiku 5.5: 247.0 LLM Stats index points per dollar, at a blended price of $0.20 per million tokens.
How is this ranking calculated?
models with at least 1,000,000 tokens of context, ranked by the LLM Stats overall index. The indexes (overall, reasoning, coding) are the ones LLM Stats publishes; Codifly does not run these tests. Prices are each provider's official standard API prices, without caching or batching. The blended price weighs 3 input tokens per output token; cost-benefit divides the overall index by that price.
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