Real-world usage

Most Used LLMs

This ranking highlights models with visible API usage and rank signals. It is an adoption view, not a benchmark leaderboard: a model can be widely used because it is cheap, available, fast, familiar, or bundled into developer workflows.

Quick Answer

The most used LLMs are usually models that combine availability, strong enough quality, predictable API behavior, and pricing that works for production. Usage rank should be read alongside cost, context window, latency, and whether the model fits your task.

Latest dataset update: .

Most Used AI Models by API Usage Signal

Rank Model Provider Usage Signal Trend Best Read As
#1 Xiaomi: MiMo-V2.5 Unknown 10.6T 12% Production adoption signal
#2 DeepSeek: DeepSeek V4 Flash Unknown 7.0T 30% Production adoption signal
#3 Tencent: Hy3 Unknown 5.0T 684% Production adoption signal
#4 DeepSeek: DeepSeek V4 Pro Unknown 3.5T 25% Production adoption signal
#5 Owl Alpha Unknown 1.6T 38% Production adoption signal
#5 Z.ai: GLM 5.2 Unknown 3.3T 10% Production adoption signal
#6 NVIDIA: Nemotron 3 Ultra (free) Unknown 2.6T 3% Production adoption signal
#7 MiniMax: MiniMax M3 Unknown 2.1T 36% Production adoption signal
#8 StepFun: Step 3.7 Flash Unknown 2.0T 106% Production adoption signal
#9 MoonshotAI: Kimi K3 Unknown 1.3T 73% Production adoption signal
#10 Anthropic: Claude Opus 4.8 Unknown 1.0T 46% Production adoption signal

What Usage Can and Cannot Tell You

  • It can show which models developers are actually trying or deploying.
  • It can be affected by pricing, free tiers, platform defaults, and integrations.
  • It does not prove benchmark superiority or suitability for every task.

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