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The Weighted Average

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Vast-10M Claims 10M-Token Context at 40.20 BEAM

Voltropy says its new Vast-10M model family carries a 10-million-token native context and scores 40.20 on the 10M-token BEAM tier, retaining 82.49% of its one-million-token score. Voltropy’s Vast-10M release reports company-run comparisons, including parity with GPT-6 Astra and a 4.70-point lead over Claude Fable 5.1 at one million tokens, so builders should treat the result as an early signal rather than an independent benchmark verdict. The practical fact to file is architectural: long-document and codebase products can test whether native context reduces retrieval misses before paying for a larger RAG stack, a budget question also surfaced by Atria’s context-window cost boundary.