Long-context AI models: 82 that hold a million tokens or more
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 81 | MiMo-V2.6-Pro-UltraSpeed Xiaomi | $4.35 / $8.7 | 1M tokens | API only | 8.7 | View | ||
| 82 | Hy4 preview Tencent | $0.84 / $2.52 | 1M tokens | API only | 2.52 | View |
Browse by need
Eighty-eight models hold a million tokens or more in a single conversation - roughly 750,000 words, or an entire codebase, a full contract bundle, a multi-hour transcript. Qwen-Long stretches furthest at 10M tokens.
Long context is not free in either sense. Several vendors charge more above a threshold - Gemini 3.1 Pro doubles from $2 to $4 on input past 200K tokens. Attention quality also degrades across very long inputs, so retrieval over a well-built index often beats pasting everything in. Lean on prompt caching when the same document is queried repeatedly.
Models with this capability
The 82 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Use the full window when the material must be seen at once — not as a substitute for retrieval.
- Watch for price tiers above 200K and budget accordingly.
- Combine with caching when the same long document is queried repeatedly.
- Check the maximum output separately; a big input window does not imply a big answer.
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