DeepSeek V4 Flash 0423 is the most-used model for sql & database on OpenRouter, handling 10.5% of requests classified as sql & database over the last 7 days.
This ranks models by how often they are actually chosen for sql & database 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.
| # | Model | Request share | Token share | Input /M | Context |
|---|---|---|---|---|---|
| 1 | 10.5% | 8.0% | $0.140 | 1.0M | |
| 2 | 8.3% | 13.8% | $0.140 | 1.1M | |
| 3 | 6.9% | 6.6% | $0.760 | 1.0M | |
| 4 | 5.6% | 5.8% | $0.435 | 1.0M | |
| 5 | 4.7% | 8.0% | $0.140 | 1.0M | |
| 6 | 4.6% | 1.1% | $1.00 | 200K | |
| 7 | 3.5% | 6.7% | $0.100 | 1.1M | |
| 8 | 3.4% | 6.3% | $0.200 | 262K | |
| 9 | 2.9% | 0.40% | $1.25 | 400K | |
| 10 | 2.8% | 4.0% | $0.132 | 262K |
Reading the two columns together: MiMo-V2.5, DeepSeek V4 Flash 0423, GPT-5.6 Luna take a noticeably larger share of tokens than of requests — meaning they are being used for the longer, heavier sql & database jobs rather than quick one-shot calls.
DeepSeek V4 Flash 0423 is the most-used model for sql & database on OpenRouter, handling 10.5% of requests classified as sql & database over the last 7 days. It is followed by MiMo-V2.5 (8.3%) and GLM 5.2 (6.9%).
No. This ranks by how often each model is actually chosen for sql & database 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.
SQL & Database accounts for 0.20% of classified requests and 0.50% of classified tokens on OpenRouter over the trailing 7 days.
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.