modelgrep

Most-used AI models for multi-step planning

Match · Updated 2026-08-04

DeepSeek V4 Flash 0423 is the most-used model for multi-step planning on OpenRouter, handling 17.1% of requests classified as multi-step planning over the last 7 days.

2.5%of all requests
6.2%of all tokens
7dwindow

This ranks models by how often they are actually chosen for multi-step planning 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
1deepseek logoDeepSeek V4 Flash 042317.1%11.7%$0.1401.0M
2tencent logoHy35.2%8.6%$0.132262K
3deepseek logoDeepSeek V4 Pro5.0%5.4%$0.4351.0M
4z-ai logoGLM 5.24.5%7.1%$0.7601.0M
5deepseek logoDeepSeek V4 Flash 04234.5%8.4%$0.1401.0M
6openai logoGPT-5.6 Luna3.9%7.6%$0.1001.1M
7xiaomi logoMiMo-V2.53.6%6.7%$0.1401.1M
8google logoGemini 2.5 Flash Lite3.5%0.40%$0.1001.0M
9moonshotai logoKimi K33.0%4.9%$3.001.0M
10google logoGemini 3 Flash Preview3.0%0.60%$0.5001.0M

Reading the two columns together: Hy3, GLM 5.2, DeepSeek V4 Flash 0423 take a noticeably larger share of tokens than of requests — meaning they are being used for the longer, heavier multi-step planning jobs rather than quick one-shot calls.

Frequently asked

What is the most-used AI model for multi-step planning?

DeepSeek V4 Flash 0423 is the most-used model for multi-step planning on OpenRouter, handling 17.1% of requests classified as multi-step planning over the last 7 days. It is followed by Hy3 (5.2%) and DeepSeek V4 Pro (5.0%).

Is this a benchmark ranking?

No. This ranks by how often each model is actually chosen for multi-step planning 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 multi-step planning?

Multi-step Planning accounts for 2.5% of classified requests and 6.2% 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.