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 Gemini 3.5 Flash Lite and Muse Spark Open.
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.
Gemini 3.5 Flash Lite by Google: 409 tokens per second with a 75.0% score. Rule: Models with a verification score of at least 75%, ordered by median output tokens per second.
What is the runner-up?
Muse Spark Open by Meta: 220 tokens per second with a 77.5% score.
Which of these costs least per correct answer?
GPT-6.1 Sol: $0.0037 per correct answer (cost per question divided by its score).