Curated find from dibi8.com — open-source, production-relevant:
1M Context Window LLM 2026: Gemini 2.5 Pro vs Claude Sonnet 4.6 Real Test
Both claim 1M token context. We loaded a 950K-token codebase into each and measured: retrieval quality, latency, cost, and which one actually delivers on the 1M promise vs collapsing in the long tail.
Read the full breakdown on dibi8: https://dibi8.com/resources/llm-frameworks/1m-context-window-llm-2026-real-test/
This is a curated highlight from dibi8.com — open-source AI tools directory, hand-edited, 4 languages. The full article (with comparisons, setup guide, and code samples) lives on dibi8.
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