Trinity Mini
PulseAugur coverage of Trinity Mini — every cluster mentioning Trinity Mini across labs, papers, and developer communities, ranked by signal.
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LLM context benchmark: Prefill speed and KV cache matter most for agents
A benchmark of 13 different large language models tested at context lengths ranging from 65K to 128K tokens revealed that prompt processing (prefill) speed is the most critical factor for agentic workloads, rather than …
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LLM Pricing Fluctuates: NVIDIA, Qwen, and Z.ai See Changes; New Models Added · 10 sources tracked
The Token Ledger has released daily updates on LLM pricing changes throughout early August 2026. Several models saw price adjustments, including NVIDIA Nemotron 3 Super and Ultra, Qwen variants, and Z.ai's GLM 5.2, with…
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Arcee AI goes all-in on open models built in the U.S.
Arcee AI has released its flagship open-source model, Trinity Large, a 400 billion parameter Mixture-of-Experts model with 13 billion active parameters. This model was trained on 17 trillion tokens using Nvidia Blackwel…