Best LLM for…

The fastest LLMs that score 75% or more

Answer: Gemini 3.5 Flash Lite by Google: 409 tokens per second with a 75.0% score.

Ranking

Models with a verification score of at least 75%, ordered by median output tokens per second. Top 15 of 16.

The fastest LLMs that score 75% or more
#ModelSpeed (tok/s)ScoreFirst tokenCost / question
1Gemini 3.5 Flash LiteGoogle40975.0%1.1 s$0.0034
2Muse Spark OpenMeta22077.5%0.5 s$0.0045
3Muse WonderMeta17578.8%16.1 s$0.021
4Gemini 3.8 FlashGoogle14282.5%3.2 s$0.0037
5Claude Opus 5.5Anthropic12985.0%2.3 s$0.015
6Claude Sonnet 5.5Anthropic12678.8%0.7 s$0.0054
7Gemini 3.1 Pro PreviewGoogle12477.5%3.4 s$0.017
8GPT-5.6 TerraOpenAI10175.0%1.1 s$0.0063
9GPT-5.3-CodexOpenAI9582.5%1.4 s$0.01
10Grok 4.7SpaceXAI7780.0%1.9 s$0.025
11Claude Fable 5.1Anthropic7081.2%2.1 s$0.016
12Gemini 4 ArgonGoogle6983.8%3.3 s$0.0062
13GPT-6 AstraOpenAI4976.2%1.3 s$0.013
14Qwen3.8 Max (0902)Qwen4675.0%1.2 s$0.011
15GPT-6.1 SolOpenAI4176.2%2.1 s$0.0029

How to read this

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.

Other questions

Quick answers

Which accurate AI model is the fastest?
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).