能力 · 2026-06-29
支援超長上下文的 AI 模型
對比支援 200K tokens 及以上上下文視窗的 AI 模型 —— 長文件與大規模程式碼場景。
這是什麼？
- 長上下文 LLM 可一次接受 200K tokens 或更長的輸入 —— 足以裝下整本書、多檔案程式庫或數小時轉寫稿。
- 部分模型可擴展到 1M、2M 甚至 10M tokens 的上下文。
為什麼重要
- 長上下文是 RAG 的替代或補充 —— 你可以直接貼上全部內容，而不只檢索片段。
- 注意：有效召回會隨輸入變長而下降，且按百萬 token 計價會讓長提示很貴。
- 部分廠商在 200K 以上有階梯價 —— 詳見各模型詳情頁的 >200K 費率。
509 個模型支援此能力
顯示前 60 項，共 509 項。 用 完整目錄 進一步篩選。
Frequently asked questions
How many AI models support 200K+ 上下文視窗?
509 canonical models in our database currently support 200K+ 上下文視窗. The list is regenerated on every data refresh, so it always reflects the latest releases tracked in our catalogue.
What is the cheapest model with 200K+ 上下文視窗?
Ling-2.6-flash from openrouter is currently the lowest-priced option, at $0.010 per 1M input tokens and $0.030 per 1M output tokens. The full table above is sorted price-ascending.
Which model with 200K+ 上下文視窗 has the largest context window?
Qwen Long (Alibaba (Qwen)) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside 200K+ 上下文視窗.
Which models are available on the most providers?
Production-readiness usually correlates with how many independent providers host the same weights. The top three by provider count are: Kimi K2.6 (49), Kimi K2.5 (48), GLM-5.1 (47).
How is 200K+ 上下文視窗 different from a regular LLM?
Long-context models accept ≥ 200K input tokens — enough for entire books, codebases or hours of transcripts in one prompt. Effective recall and per-token pricing both degrade with input length, so 'big context' is not always the right choice over RAG.
How often is this list updated?
Daily. Our data pipeline syncs once a day, regenerates the canonical model list, and rebuilds these pages so newly released models appear within 24 hours.
Explore more
Top models with this capability
- Ling-2.6-flash$0.01 in / $0.03 out
- Google Gemma 3 27B Instruct$0.03 in / $0.11 out
- Qwen3 235B A22B 2507$0.07 in / $0.10 out
- Qwen3.5 9B$0.04 in / $0.15 out
- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
Other capabilities
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Pricing comparisons
Vendors in this list
最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.