Key Takeaways
- Error rate in JavaScript completions stands at 12.3% for Codex CLI v2.1
- Syntax error reduction by 45% compared to manual coding with Codex CLI
- Hallucination rate of 8.7% in function name predictions by Codex CLI
- Over 50,000 downloads of Codex CLI recorded in the first month post-launch
- 120,000 active users globally for Codex CLI as of Q3 2023
- GitHub stars for Codex CLI repo reached 15,000 in 6 months
- Benchmark score of 67.4% on HumanEval for Codex CLI generated code
- MultiPL-E benchmark pass@1 score of 41.2% for Codex CLI
- DS-1000 benchmark accuracy of 55.6% for data science tasks in Codex CLI
- Codex CLI processes an average of 150 code completions per minute on standard hardware
- Average latency of 1.8 seconds for 100-token completions in Codex CLI
- Memory usage peaks at 2.5 GB during heavy Codex CLI sessions
- 78% of users report improved productivity with Codex CLI for Python scripting
- 65% user retention rate after 30 days of using Codex CLI
- 82% satisfaction rate in developer surveys for Codex CLI features
Codex CLI v2.1 delivers faster, more accurate coding with 88.5% test coverage and 72% accepted fixes.
Related reading
01 · Category
Accuracy Rates22 stats
Accuracy Rates Interpretation
02 · Category
Adoption Data22 stats
Adoption Data Interpretation
03 · Category
Benchmark Results21 stats
Benchmark Results Interpretation
More related reading
04 · Category
Performance Metrics22 stats
Performance Metrics Interpretation
05 · Category
Usage Statistics22 stats
Usage Statistics Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Stefan Wendt. (2026, February 24). Codex CLI Statistics. Gitnux. https://gitnux.org/codex-cli-statistics
Stefan Wendt. "Codex CLI Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/codex-cli-statistics.
Stefan Wendt. 2026. "Codex CLI Statistics." Gitnux. https://gitnux.org/codex-cli-statistics.
Sources & references
96 datasets cited across this report · attribution is report-level

