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 11 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. 1Gemini 2.5 Flash-Lite81
  2. 2Gemini 3.5 Flash78
  3. 3Grok 4.2078
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. 2Claude Opus 5.585
  3. 3Muse Spark 1.385
All 202 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. 1DeepSeek V4 Flash93
  2. 2Ling 3.0 Flash Fin92
  3. 3Ling 3.0 Flash91
All 203 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. 3GPT-6.1 Sol97
All 368 ranked for this →

Or work it out yourself