clawdboard_// codex-auto-review statistics>codex-auto-review Usage Statistics
Real usage data for codex-auto-review from 7 developers on clawdboard. codex-auto-review is an AI model tracked through clawdboard for coding usage. All costs are estimated from token counts and published Unknown API pricing.
As of September 19, 2026 at 6:38 PM UTC, codex-auto-review ranks #21 out of 189 tracked AI coding models on clawdboard, accounting for 0.2% of total community spend. 7 developers have used codex-auto-review, generating $1.8k in estimated API cost and 3.0B tokens (327.5M input, 2.3M output). The average estimated cost per developer is $257.66 (median: $198.94). codex-auto-review has been tracked on clawdboard since May 5, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: September 19, 2026 at 6:38 PM UTC · Refreshed hourly · Tracked since May 5, 2026
>codex-auto-review at a Glance
Aggregate codex-auto-review usage across all 7 developers who have used this model.
Total Estimated Cost
$1.8k
0.2% of community spend
Total Tokens
3.0B
99% input / 1% output
Developers
7
using codex-auto-review
Model Rank
#21
of 189 tracked models
Detailed breakdown
Avg Cost per Developer
$257.66
median: $198.94
Input Tokens
327.5M
prompt + context
Output Tokens
2.3M
generated responses
Avg Cost per Token
$0.000001
estimated blended rate
>codex-auto-review Daily Usage Trends
How much are developers spending on codex-auto-review each day? This chart shows the 7-day moving average of estimated daily cost and active user count. Spikes often correspond to new version releases or pricing changes.
Daily codex-auto-review Usage
Last 60 days · 7-day moving average
codex-auto-review Token Breakdown
Developers have consumed 3.0B tokens through codex-auto-review, split between 327.5M input tokens (prompts, context, files) and 2.3M output tokens (generated code, explanations, edits).
Prompt caching has processed 0 cache creation tokens and 2.6B cache read tokens. Cache reads are significantly cheaper per token, reducing the effective cost for developers with repeated context.
The higher input-to-output ratio suggests developers send substantial context (files, documentation, error messages) along with their prompts..
How Much Does codex-auto-review Cost for Coding?
Based on data from 7 developers, the average estimated codex-auto-review usage cost is $257.66 per developer (all-time). The median is $198.94, reflecting the gap between occasional and heavy codex-auto-review users.
codex-auto-review accounts for 0.2% of total community spend across all 189 tracked models, ranking #21 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use codex-auto-review through subscription-based tools (Claude Code, OpenCode, Codex CLI) with flat monthly pricing. The estimated cost is useful for comparing usage intensity across models and developers.
>Other Unknown Models
Compare codex-auto-review with other Unknown models tracked on clawdboard.
codex-auto-review FAQ
Common questions about codex-auto-review usage, cost, and performance data.
[01]How much does codex-auto-review cost for coding?
Based on data from 7 developers on clawdboard, the average estimated codex-auto-review usage cost is $257.66 per developer (all-time). The median is $198.94. These are estimated API-equivalent costs calculated from token counts and published Unknown pricing — most developers pay flat subscription fees, not per-token billing.
[02]How popular is codex-auto-review compared to other AI coding models?
codex-auto-review ranks #21 out of 189 tracked models by total estimated cost, accounting for 0.2% of all community spend on clawdboard. 7 developers have used codex-auto-review. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
[03]What is codex-auto-review used for in coding?
codex-auto-review is an AI model tracked through clawdboard for coding usage. Developers use it through AI coding tools tracked by clawdboard — including Claude Code, OpenCode, and Codex CLI. The token ratio for codex-auto-review is 99% input / 1% output, indicating how developers interact with the model.
[04]Where does this codex-auto-review usage data come from?
All data comes from developers who voluntarily track their AI coding usage through clawdboard. The CLI reads local log files from supported tools on each developer's machine and extracts aggregate token counts and model identifiers. No code, prompts, or conversation content is collected — only token counts and estimated costs.
[05]How often is codex-auto-review data updated?
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. codex-auto-review has been tracked on clawdboard since May 5, 2026.
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