When developers search for context window limits, they usually want one thing: a clear comparison table. This guide shows the practical token limits for major models in 2026.
| Model | Context Window | Best For |
|---|---|---|
| GPT-5.4 | 128K | General app workflows |
| Claude Opus 4.7 | 200K | Complex reasoning, long documents |
| Claude Sonnet 4.5 | 200K | Coding, writing, large context |
| Claude Haiku 4.5 | 200K | Fast extraction, classification |
| Gemini Pro | 1M+ | Extremely long documents, multimodal context |
| Gemini Flash | 1M+ | Fast long-context processing |
| Kimi K2 | 128K+ | Chinese reasoning |
| Qwen 2.5 | 128K | Budget-friendly long context |
| DeepSeek V3 | 128K | Cost-efficient long docs |
The context window is the maximum amount of text (measured in tokens) a model can process at once. Larger context windows matter when you are working with:
| Need | Recommended Model |
|---|---|
| Best balance of quality and long context | Claude Sonnet |
| Strongest reasoning over long docs | Claude Opus |
| Largest context possible | Gemini Pro |
| Cheapest long-context option | DeepSeek / Qwen |
| Chinese long-context work | Kimi K2 |
All major long-context models are available through Crazyrouter.
No. A larger context window lets you send more text, but model quality still matters. Gemini has the largest context, but Claude often performs better on reasoning quality.
Roughly 150,000 words in English, depending on formatting and language.
Claude Opus and Sonnet are usually the best balance of context size and code quality.
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