clawdboard_// gpt-5.3-codex-spark statistics>gpt-5.3-codex-spark Usage Statistics
Real usage data for gpt-5.3-codex-spark from 1 developers on clawdboard. gpt-5.3-codex-spark is an AI model tracked through clawdboard for coding usage. All costs are estimated from token counts and published Unknown API pricing.
As of August 24, 2026 at 1:42 AM UTC, gpt-5.3-codex-spark ranks #62 out of 134 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used gpt-5.3-codex-spark, generating $5.95 in estimated API cost and 9.8M tokens (475.1k input, 116.7k output). The average estimated cost per developer is $5.95 (median: $5.95). gpt-5.3-codex-spark has been tracked on clawdboard since June 19, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: August 24, 2026 at 1:42 AM UTC · Refreshed hourly · Tracked since June 19, 2026
>gpt-5.3-codex-spark at a Glance
Aggregate gpt-5.3-codex-spark usage across all 1 developers who have used this model.
Total Estimated Cost
$5.95
0% of community spend
Total Tokens
9.8M
80% input / 20% output
Developers
1
using gpt-5.3-codex-spark
Model Rank
#62
of 134 tracked models
Detailed breakdown
Avg Cost per Developer
$5.95
median: $5.95
Input Tokens
475.1k
prompt + context
Output Tokens
116.7k
generated responses
Avg Cost per Token
$0.000001
estimated blended rate
>gpt-5.3-codex-spark Daily Usage Trends
How much are developers spending on gpt-5.3-codex-spark 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 gpt-5.3-codex-spark Usage
Last 1 days · 7-day moving average
gpt-5.3-codex-spark Token Breakdown
Developers have consumed 9.8M tokens through gpt-5.3-codex-spark, split between 475.1k input tokens (prompts, context, files) and 116.7k output tokens (generated code, explanations, edits).
Prompt caching has processed 0 cache creation tokens and 9.2M 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 gpt-5.3-codex-spark Cost for Coding?
Based on data from 1 developers, the average estimated gpt-5.3-codex-spark usage cost is $5.95 per developer (all-time). The median is $5.95, reflecting the gap between occasional and heavy gpt-5.3-codex-spark users.
gpt-5.3-codex-spark accounts for 0% of total community spend across all 134 tracked models, ranking #62 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use gpt-5.3-codex-spark 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 gpt-5.3-codex-spark with other Unknown models tracked on clawdboard.
gpt-5.3-codex-spark FAQ
Common questions about gpt-5.3-codex-spark usage, cost, and performance data.
[01]How much does gpt-5.3-codex-spark cost for coding?
Based on data from 1 developers on clawdboard, the average estimated gpt-5.3-codex-spark usage cost is $5.95 per developer (all-time). The median is $5.95. 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 gpt-5.3-codex-spark compared to other AI coding models?
gpt-5.3-codex-spark ranks #62 out of 134 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used gpt-5.3-codex-spark. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
[03]What is gpt-5.3-codex-spark used for in coding?
gpt-5.3-codex-spark 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 gpt-5.3-codex-spark is 80% input / 20% output, indicating how developers interact with the model.
[04]Where does this gpt-5.3-codex-spark 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 gpt-5.3-codex-spark data updated?
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. gpt-5.3-codex-spark has been tracked on clawdboard since June 19, 2026.
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