Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference

·ArXiv cs.AI··

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 actually made is the endpoint: the (provider, model, stock-keeping-unit) tuple at which a specific quantization, decoding strategy, region, and serving stack is exposed. We introduce TokenArena, a continuous benchmark that measures inference at endpoint granularity along five core axes (output speed, time to first token, wo...

Read full article →

Related Articles

Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 3d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 1d ago
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters
steveharing1 · Hacker News · 1d ago
OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 6d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 6d ago