Most Used AI Models

API request volume per model over the last 7 days, sourced from OpenRouter public rankings.

Data as of 2026-09-1650 models
#ModelOpenRouter UsageAISOTA Score
1SOTAdeepseek-v4-flash976.18M99.8
2gpt-5-6-luna610.66M99.6
3glm-5-3-flash277.88M99.3
4gemini-2-5-flash-lite251.96M99.1
5gpt-oss-120b161M98.9
6gemini-3-1-flash-lite132.3M98.7
7deepseek-v4-1-flash129.89M98.4
8text-embedding-3-small126.57M98.2
9gemini-2-5-flash121.53M98.0
10hy4115.87M97.8
11gemma-4-26b-a4b-it112.9M97.6
12mimo-v2-5106.67M97.3
13gpt-4o-mini106.62M97.1
14mistral-nemo101.1M96.9
15gemini-3-flash98.97M96.7
16deepseek-v4-pro96.29M96.4
17gemma-4-31b-it88.97M96.2
18llama-3-1-8b84.87M96.0
19qwen3-7-flash81.28M95.8
20hy-mt2-1-8b73.29M95.6
21hy371.5M95.3
22deepseek-v3-265.67M95.1
23hy-mt2-30b-a3b59.58M94.9
24qwen3-embedding-8b59.46M94.7
25hy-mt2-7b58.45M94.4
26gemini-3-8-flash55.12M94.2
27gemini-3-5-flash-lite51.44M94.0
28gpt-oss-20b50.88M93.8
29glm-5-245.19M93.6
30qwen3-5-flash45.18M93.3
31gpt-4-1-nano44.52M93.1
32gemini-3-7-flash39.34M92.9
33claude-4-5-haiku38.6M92.7
34gpt-5-6-sol30.84M92.4
35gpt-4-1-mini30.24M92.2
36glm-5-330.06M92.0
37nemotron-3-ultra-550b-a55b29.81M91.8
38minimax-m329.35M91.6
39claude-sonnet-527.99M91.3
40gpt-5-4-mini27.96M91.1
41ling-3-0-flash27.26M90.9
42gemma-3-27b-it26.75M90.7
43gpt-5-4-nano26.43M90.4
44gemini-embedding-226.22M90.2
45muse-spark-1-3-contributor26.13M90.0
46kimi-k325.05M89.8
47llama-3-3-70b24.28M89.6
48deepseek23.67M89.3
49claude-4-6-sonnet22.94M89.1
50gpt-5-mini22.65M88.9