clawdboard_// gemini-4-argon statistics>gemini-4-argon Usage Statistics
Real usage data for gemini-4-argon from 1 developers on clawdboard. gemini-4-argon is Google's Gemini family of multimodal models for AI-assisted development. All costs are estimated from token counts and published Google API pricing.
As of October 13, 2026 at 10:06 PM UTC, gemini-4-argon ranks #147 out of 215 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used gemini-4-argon, generating $0.76 in estimated API cost and 713.0k tokens (90.4k input, 20.2k output). The average estimated cost per developer is $0.76 (median: $0.76). gemini-4-argon has been tracked on clawdboard since October 13, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: October 13, 2026 at 10:06 PM UTC · Refreshed hourly · Tracked since October 13, 2026
>gemini-4-argon at a Glance
Aggregate gemini-4-argon usage across all 1 developers who have used this model.
Total Estimated Cost
$0.76
0% of community spend
Total Tokens
713.0k
82% input / 18% output
Developers
1
using gemini-4-argon
Model Rank
#147
of 215 tracked models
Detailed breakdown
Avg Cost per Developer
$0.76
median: $0.76
Input Tokens
90.4k
prompt + context
Output Tokens
20.2k
generated responses
Avg Cost per Token
$0.000001
estimated blended rate
>gemini-4-argon Daily Usage Trends
How much are developers spending on gemini-4-argon 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 gemini-4-argon Usage
Last 1 days · 7-day moving average
gemini-4-argon Token Breakdown
Developers have consumed 713.0k tokens through gemini-4-argon, split between 90.4k input tokens (prompts, context, files) and 20.2k output tokens (generated code, explanations, edits).
Prompt caching has processed 0 cache creation tokens and 602.4k 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 gemini-4-argon Cost for Coding?
Based on data from 1 developers, the average estimated gemini-4-argon usage cost is $0.76 per developer (all-time). The median is $0.76, reflecting the gap between occasional and heavy gemini-4-argon users.
gemini-4-argon accounts for 0% of total community spend across all 215 tracked models, ranking #147 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use gemini-4-argon 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 Google Models
Compare gemini-4-argon with other Google models tracked on clawdboard.
gemini-4-argon FAQ
Common questions about gemini-4-argon usage, cost, and performance data.
[01]How much does gemini-4-argon cost for coding?
Based on data from 1 developers on clawdboard, the average estimated gemini-4-argon usage cost is $0.76 per developer (all-time). The median is $0.76. These are estimated API-equivalent costs calculated from token counts and published Google pricing — most developers pay flat subscription fees, not per-token billing.
[02]How popular is gemini-4-argon compared to other AI coding models?
gemini-4-argon ranks #147 out of 215 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used gemini-4-argon. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
[03]What is gemini-4-argon used for in coding?
gemini-4-argon is Google's Gemini family of multimodal models for AI-assisted development. Developers use it through AI coding tools tracked by clawdboard — including Claude Code, OpenCode, and Codex CLI. The token ratio for gemini-4-argon is 82% input / 18% output, indicating how developers interact with the model.
[04]Where does this gemini-4-argon 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 gemini-4-argon data updated?
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. gemini-4-argon has been tracked on clawdboard since October 13, 2026.
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