Pick a context strategy from your workload — no invented benchmarks.
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Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The Context Window Comparison page collects the input limits of major language models, from small 4K windows to 1M-token models, so you can match a model to your documents. It is useful when choosing between short-prompt chat and long-context work such as code review, contract analysis or retrieval-augmented generation. Compare the limits, then confirm the exact context size in official model documentation. Context windows are hard limits: content beyond them must be chunked or summarised.
The maximum number of tokens a model can process in one call, covering both the prompt you send and the answer it generates. Inputs above the limit are rejected or truncated, which is why long documents need chunking.
A common rule is about four characters per token in English, so a 20,000-character document is roughly 5,000 tokens. Use a tokenizer or a token estimator for a closer figure, since code and other languages differ.
No. Quality can degrade toward the edges of a very long context, and the output shares the same budget as the input. Leave headroom for retrieval noise and the expected answer length.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs