Report · October 2026

LLM benchmark report, October 2026

78 AI models, 72 with a verification score, tested on the same 80 questions through the OpenRouter API. Every number below comes from that run; nothing is taken from vendor announcements.

Key findings

  • Claude Opus 5.5 by Anthropic had the highest verification score, 85.0% (68/80); the median of 72 scored models was 62.5%.
  • Among models at or above the median score, the cheapest correct answer came from GLM 5.3 Flash at $0.00022; the most expensive, Grok 4.7, cost 145× as much per correct answer.
  • Reasoning tokens made up 86% of the output of the 58 models that think before answering. Their median cost per question was $0.0027, against $0.00045 for the 14 that don't.
  • Nemotron 3.5 Super VL was the fastest model at a median 715 tokens per second.

Cost per correct answer

Price per token says little on its own: a model that thinks at length or gets more questions wrong costs more per useful answer. Cost per correct answer is the billed cost per question divided by the share answered correctly. Shown for the 10 cheapest of the models scoring at or above the median (62.5%). The most expensive in that group, Grok 4.7, cost $0.031 per correct answer.

Cheapest cost per correct answer
#ModelCost / correct answerCost / questionScoreTokens / question
1GLM 5.3 FlashZ.ai$0.00022$0.0001567.5%560
2GPT-6 LunaOpenAI$0.00034$0.0002572.5%431
3Inkling SmallThinking Machines$0.00069$0.0004767.5%273
4Claude Haiku 5.5Anthropic$0.0007$0.0004868.8%873
5MiMo-V2.6-FlashXiaomi$0.0009$0.0005662.5%1,850
6DeepSeek V4.1 Flash 1017DeepSeek$0.0012$0.0009173.8%1,318
7MiniMax M3.1 FlashMiniMax$0.0013$0.0008766.2%1,376
8GLM 5.3Z.ai$0.0014$0.0009367.5%523
9DeepSeek V4 Flash Vision ExpDeepSeek$0.0015$0.001171.2%1,301
10GPT-6.1 TerraOpenAI$0.0017$0.001373.8%195

The reasoning-token tax

58 of the scored models think before answering, and those reasoning tokens are billed as output. They made up 86% of the output tokens of those models. Median score: 66.2% for reasoning models, 41.9% for the 14 others. Median cost per question: $0.0027 against $0.00045. Below, the models that spent the most reasoning tokens per question; all were run at reasoning effort low.

Most reasoning tokens per question
#ModelTokens / questionScoreCost / questionCost / correct answer
1Reka Flash 3rekaai3,8551.2%$0.0008$0.067
2Qwen3.5 397B A17BQwen4,01032.5%$0.013$0.041
3Grok 4.7SpaceXAI3,95280.0%$0.025$0.031
4Gemma 4 26B A4BGoogle3,72215.0%$0.0011$0.0072
5Mistral Medium 3.5Mistral3,26828.8%$0.025$0.087
6Qwen3.6 35B A3BQwen3,56337.5%$0.0037$0.0099
7Trinity Large ThinkingArcee AI3,04328.8%$0.0025$0.0087
8Mistral Small 4Mistral3,02132.5%$0.0019$0.0057

The fastest models

Median output tokens per second after the first token, over 3 streamed runs of the same prompt. Speed depends on the host OpenRouter routes to, so treat close values as equal.

Fastest models
#ModelSpeed (tok/s)First tokenScoreCost / question
1Nemotron 3.5 Super VLNVIDIA7150.6 s40.0%$0.0013
2Gemini 3.5 Flash LiteGoogle4091.1 s75.0%$0.0034
3Trinity Large ThinkingArcee AI3290.6 s28.8%$0.0025
4Ministral 3 3B 2512Mistral2520.3 s26.2%$0.00019
5Qwen3.5 397B A17BQwen2400.6 s32.5%$0.013
6Inkling SmallThinking Machines2330.5 s67.5%$0.00047
7Muse Spark OpenMeta2200.5 s77.5%$0.0045
8Claude Haiku 5.5Anthropic1920.7 s68.8%$0.00048
9Nova Micro 1.0Amazon1800.5 s22.5%$0.000087
10Muse WonderMeta17516.1 s78.8%$0.021

Method and data

This report uses the run of 2026-10-27, the last of October 2026. 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 small differences are noise. How every number is measured is on the methodology page; the current data is available as CSV and JSON, and the live rankings are on the leaderboard.