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Morning Edition · Monday, October 26, 2026Published at 2:26 AM EDT · New York
Meta's 816-billion-parameter Muse Spark Open trails Chinese models on coding while leading them on agentic benchmarks
On Terminal-Bench 2.1 the model scores 76.4 against Kimi K3's 85.0 and GLM 5.3's 83.9, but Meta's table shows it ahead of both on tool-use evaluations including JobBench and MCP-Atlas.
Meta released weights for Muse Spark Open on October 15: a mixture-of-experts model with 816 billion total parameters, 42 billion active per token, and a 1-million-token context window, under a custom license carrying a revenue trigger, The…
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Part of a tracked trend
Open-Weight Models Close the Gap With Closed Frontier Labs
Over the next 3-9 months, open-weight releases with downloadable weights, long context, and strong agentic/coding performance increasingly match closed frontier models on practical work, eroding the closed-lab moat.
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