modelgrep

Most-used AI models for devops & config

Match · Updated 2026-08-04

MiMo-V2.5 is the most-used model for devops & config on OpenRouter, handling 12.5% of requests classified as devops & config over the last 7 days.

0.10%of all requests
0.60%of all tokens
7dwindow

This ranks models by how often they are actually chosen for devops & config in production traffic, not by benchmark score. Adoption reflects price, latency and availability as much as raw capability — which is exactly why it often disagrees with the benchmark leaderboards, and why it is worth reading alongside them.

#ModelRequest shareToken shareInput /MContext
1xiaomi logoMiMo-V2.512.5%13.1%$0.1401.1M
2deepseek logoDeepSeek V4 Flash 04239.8%7.7%$0.1401.0M
3deepseek logoDeepSeek V4 Flash 04239.2%10.8%$0.1401.0M
4z-ai logoGLM 5.26.2%5.0%$0.7601.0M
5nemotron-3-ultra-550b-a55b-20260604:free5.9%7.3%
6deepseek logoDeepSeek V4 Pro5.8%5.5%$0.4351.0M
7openai logoGPT-5.6 Luna5.1%6.6%$0.1001.1M
8stepfun logoStep 3.7 Flash4.6%5.2%$0.200262K
9laguna-s-2.1-20260720:free4.5%5.1%
10tencent logoHy34.5%4.5%$0.132262K

Frequently asked

What is the most-used AI model for devops & config?

MiMo-V2.5 is the most-used model for devops & config on OpenRouter, handling 12.5% of requests classified as devops & config over the last 7 days. It is followed by DeepSeek V4 Flash 0423 (9.8%) and DeepSeek V4 Flash 0423 (9.2%).

Is this a benchmark ranking?

No. This ranks by how often each model is actually chosen for devops & config in production traffic through OpenRouter — real-world adoption, which reflects price and availability as much as capability. For capability-based rankings, see the benchmark leaderboards.

How much of all AI traffic is devops & config?

DevOps & Config accounts for 0.10% of classified requests and 0.60% of classified tokens on OpenRouter over the trailing 7 days.

Other tasks

Source: OpenRouter (openrouter.ai/rankings), as of 2026-08-04. Shares are of classified, sampled traffic over a trailing 7-day window; absolute volumes are not published.