Most-used AI models for code review
GLM 5.2 is the most-used model for code review on OpenRouter, handling 20.6% of requests classified as code review over the last 7 days.
This ranks models by how often they are actually chosen for code review 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 |  GLM 5.2 | 20.6% | 15.7% | $0.760 | 1.0M |
| 2 |  DeepSeek V4 Flash 0423 | 14.3% | 9.1% | $0.140 | 1.0M |
| 3 | DeepSeek V4 Flash 0423 | 5.4% | 8.9% | $0.140 | 1.0M |
| 4 |  MiMo-V2.5 | 4.6% | 8.1% | $0.140 | 1.1M |
| 5 |  GPT-5.6 Luna | 3.8% | 9.0% | $0.100 | 1.1M |
| 6 | DeepSeek V4 Pro | 3.0% | 3.2% | $0.435 | 1.0M |
| 7 |  Kimi K3 | 2.9% | 4.1% | $3.00 | 1.0M |
| 8 |  Claude Sonnet 5 | 2.7% | 2.2% | $2.00 | 1M |
| 9 | GPT-5.4 | 2.5% | 3.3% | $2.50 | 1.1M |
| 10 | ling-3.0-flash-20260723:free | 2.3% | 3.6% | — | — |
Reading the two columns together: DeepSeek V4 Flash 0423, MiMo-V2.5, GPT-5.6 Luna take a noticeably larger share of tokens than of requests — meaning they are being used for the longer, heavier code review jobs rather than quick one-shot calls.
Frequently asked
GLM 5.2 is the most-used model for code review on OpenRouter, handling 20.6% of requests classified as code review over the last 7 days. It is followed by DeepSeek V4 Flash 0423 (14.3%) and DeepSeek V4 Flash 0423 (5.4%).
No. This ranks by how often each model is actually chosen for code review 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.
Code Review accounts for 0.90% of classified requests and 2.3% 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.