Use this page for “largest context window llm”, “which llm has the largest context window”, and other long-context searches. It combines raw context size with WhatLLM’s long-context ranking logic so you can separate marketing claims from practical capability.
The leading model on this page reaches 1.0M tokens, which is roughly 1,333 pages of text in one prompt.
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OpenAI
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Z AI
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Anthropic
Long-context models matter when you need to ingest whole books, legal filings, engineering specs, support archives, or large codebases with minimal chunking. They are also useful when RAG pipelines are too brittle or too lossy for your use case.
If you are evaluating long-context models for real work, compare raw context length with long-context benchmark behavior. A huge window is only valuable if the model still reasons coherently across it.
Use Compare to inspect long-context finalists side by side, then move into Best Open Source LLM if local deployment or Ollama compatibility matters.
For broad model selection, start with Best AI Models and then narrow down to long-context specialists here.
SEO Hubs
Start with the evergreen pages below. They align to the highest-intent SEO clusters and are built to stay current as model rankings change.
Live ranking of the best overall AI models by quality, price, speed, and context window.
Current coding leaderboard using LiveCodeBench, Terminal-Bench, and SciCode.
Top open-weight models for self-hosting, Ollama, and low-cost API use.
Best local AI models by hardware tier for self-hosting on Macs, RTX GPUs, and workstations.
Ollama-first picks for coding, chat, reasoning, and low-friction local inference.
Rankings for tool use, multi-step execution, and autonomous agent workflows.
Gemini 3 Pro Preview (high) currently leads this page on raw context length with 1.0M tokens.
It is the total amount of input and output the model can keep in working memory during a single interaction.
Not always. Bigger windows help on large inputs, but they can add cost and latency. If your workloads are smaller, use the best model for your actual use case rather than optimizing for headline context length.
Check context size, then compare the finalists on long-context benchmarks, price, and throughput. WhatLLM gives you all four on one site.