Your 256K Context Window Is a Ceiling, Not a Budget
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Gemma 4 ships with a context window up to 256K tokens. Every time a model lands with a headline context number, the same thing happens: people paste their entire corpus into the prompt, watch latency and memory explode, get mediocre answers, and conclude long context "doesn't work." The window is a ceiling, not a target. Here is the mechanical reason why, and what I do instead. Where the cost lives: attention vs. KV cache Two different costs scale with sequence length, and people conflate them…
1Key Takeaways
- Gemma 4 ships with a context window up to 256K tokens.
- Every time a model lands with a headline context number, the same thing happens: people paste their entire corpus into the prompt, watch latency and memory explode, get mediocre answers, and conclude long context "doesn't work." The window is a ceiling, not a target.
- Here is the mechanical reason why, and what I do instead.
- KV cache Two different costs scale with sequence length, and people conflate them….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that gemma 4 ships with a context window up to 256K tokens.
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