What Does a Token Cost? A Mixture-of-Agents Measurement of Sufficient Per-Token

arXiv:2605.01214v1 Announce Type: new Abstract: This position paper argues that agentic AI systems should be designed and evaluated as \emph{marginal token allocation economies}

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

arXiv:2606.25519v1 Announce Type: new Abstract: Quantization is widely used to reduce the inference cost of large language models, but its effect on reasoning models is not fully

<p>AI coding assistants are useful. They're also expensive if you're not paying attention. I was spending $120/month before I started tracking. Now I spend under $50 for the same

arXiv:2605.00300v1 Announce Type: new Abstract: Public inference benchmarks compare AI systems at the model and provider level, but the unit at which deployment decisions are

arXiv:2607.13080v1 Announce Type: cross Abstract: Autonomous coding agents force engineering organizations to choose between API-based frontier models -- strong reasoning at high

arXiv:2608.27506v1 Announce Type: new Abstract: Adding inference structure to a language model lets it search, verify, and revise, but these actions consume the very budget they

arXiv:2603.25498v1 Announce Type: new Abstract: As the Web transitions from static retrieval to generative interaction, the escalating environmental footprint of Large Language