Median output tokens per second after the first token, over repeated streamed runs of the same prompt. Models that deliver the whole answer in one burst after hidden thinking are left out. Top 15 of 72.
Scores come from 80 multiple-choice questions from SuperGPQA and MMLU-Pro. With that many questions, a score has a margin of error of several points, so models a few points apart are effectively tied on accuracy; the comparison pages run a significance test for any pair. To see the top two side by side, compare Nemotron 3.5 Super VL and Gemini 3.5 Flash Lite.
Speed, latency and cost are measured through OpenRouter and depend on which host serves the request; your numbers on a direct API may differ. The full procedure is on the methodology page, and the data behind this ranking can be downloaded.
Nemotron 3.5 Super VL by NVIDIA, at a median 715 tokens per second. Rule: Median output tokens per second after the first token, over repeated streamed runs of the same prompt. Models that deliver the whole answer in one burst after hidden thinking are left out.
What is the runner-up?
Gemini 3.5 Flash Lite by Google, at a median 409 tokens per second.
Which of these costs least per correct answer?
gpt-oss-20b: $0.00013 per correct answer (cost per question divided by its score).