BenchLeader

Choose a model

There is no best model, only a best model for something. A voice agent needs an answer to start within a second and can live with less intelligence; a research assistant can think for a minute and cannot. Start from the job below, or set your own constraints.

Data as of 21 Oct 2026

Start from the job

Each of these ranks on what that work actually needs, and prints the weighting so you can argue with it.

Voice agents

Which model should I use for a voice agent?

Weighted on time to first answer 45%, output speed 20%, tool use 15%.

  1. 1GLM 5.286
  2. 2DeepSeek V4.1 Flash83
  3. 3Gemini 3.5 Flash82
All 65 ranked for this →

Coding agents

Which model should I use for an autonomous coding agent?

Weighted on coding 35%, tool use 30%, long context 20%.

  1. 1Qwen3.8-Flash-Next85
  2. 2Muse Spark85
  3. 3Claude Sonnet 5.584
All 209 ranked for this →

High-volume extraction

Which model should I use to classify or extract at scale?

Weighted on price per 1m 45%, output speed 25%, instruction following 20%.

  1. 1Ling 3.0 Flash Fin91
  2. 2Ling 3.0 Flash90
  3. 3Claude Haiku 5.590
All 212 ranked for this →

Deep research

Which model should I use for long analytical work?

Weighted on reasoning 30%, quality 25%, knowledge 25%.

  1. 1Claude Opus 5.599
  2. 2Claude Fable 5.198
  3. 3Muse Wonder Full97
All 381 ranked for this →

Or work it out yourself