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  5. Context Window
Model Architecturesaka max sequence length

Context Window

The maximum sequence length a model architecture supports, ranging from 2K to 10M+ tokens in 2026.

Ask Melo about this← all terms

The context window is the maximum sequence length a model architecture supports, determined by positional encoding, attention mechanism, and memory constraints. In 2026, context windows range from 2K to 10M+ tokens. Extending context requires innovations in positional encoding (RoPE scaling), efficient attention (sliding window, Flash Attention), and memory management.

Related terms

Positional EncodingRotary Position EmbeddingSliding Window AttentionFlash AttentionSparse AttentionEncoder-Decoder Model

Where Context Window comes up

  • Inkling Is Free on OpenRouter With a 1M Context Window — the Fine Print
  • Enable a 1M-Token Context Window in Codex CLI (GPT-5.6 Sol)
  • Agentic context design: how to engineer the context window for multi-turn AI systems in 2026
  • Claude Code Context Window: What Happens When You Hit the Limit (and How to Fix It)