clawdboard_// gemini-3.1-flash-image statistics>gemini-3.1-flash-image Usage Statistics
fastReal usage data for gemini-3.1-flash-image from 1 developers on clawdboard. gemini-3.1-flash-image is Google's fast and cost-efficient Gemini model, used for high-volume coding operations. All costs are estimated from token counts and published Google API pricing.
As of August 24, 2026 at 3:41 AM UTC, gemini-3.1-flash-image ranks #102 out of 134 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used gemini-3.1-flash-image, generating $0.01 in estimated API cost and 14.3k tokens (14.3k input, 1 output). The average estimated cost per developer is $0.01 (median: $0.01). gemini-3.1-flash-image has been tracked on clawdboard since July 26, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: August 24, 2026 at 3:41 AM UTC · Refreshed hourly · Tracked since July 26, 2026
>gemini-3.1-flash-image at a Glance
Aggregate gemini-3.1-flash-image usage across all 1 developers who have used this model.
Total Estimated Cost
$0.01
0% of community spend
Total Tokens
14.3k
100% input / 0% output
Developers
1
using gemini-3.1-flash-image
Model Rank
#102
of 134 tracked models
Detailed breakdown
Avg Cost per Developer
$0.01
median: $0.01
Input Tokens
14.3k
prompt + context
Output Tokens
1
generated responses
Avg Cost per Token
$0.000001
estimated blended rate
>gemini-3.1-flash-image Daily Usage Trends
How much are developers spending on gemini-3.1-flash-image 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-3.1-flash-image Usage
Last 1 days · 7-day moving average
gemini-3.1-flash-image Token Breakdown
Developers have consumed 14.3k tokens through gemini-3.1-flash-image, split between 14.3k input tokens (prompts, context, files) and 1 output tokens (generated code, explanations, edits).
The higher input-to-output ratio suggests developers send substantial context (files, documentation, error messages) along with their prompts..
How Much Does gemini-3.1-flash-image Cost for Coding?
Based on data from 1 developers, the average estimated gemini-3.1-flash-image usage cost is $0.01 per developer (all-time). The median is $0.01, reflecting the gap between occasional and heavy gemini-3.1-flash-image users.
gemini-3.1-flash-image accounts for 0% of total community spend across all 134 tracked models, ranking #102 by estimated cost. As a fast, cost-efficient model, it processes more requests per dollar, so its cost share may underrepresent actual usage volume.
These are estimated API-equivalent costs, not actual bills. Most developers use gemini-3.1-flash-image 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-3.1-flash-image with other Google models tracked on clawdboard.
gemini-3.1-flash-image FAQ
Common questions about gemini-3.1-flash-image usage, cost, and performance data.
[01]How much does gemini-3.1-flash-image cost for coding?
Based on data from 1 developers on clawdboard, the average estimated gemini-3.1-flash-image usage cost is $0.01 per developer (all-time). The median is $0.01. 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-3.1-flash-image compared to other AI coding models?
gemini-3.1-flash-image ranks #102 out of 134 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used gemini-3.1-flash-image. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
[03]What is gemini-3.1-flash-image used for in coding?
gemini-3.1-flash-image is Google's fast and cost-efficient Gemini model, used for high-volume coding operations. Developers use it through AI coding tools tracked by clawdboard — including Claude Code, OpenCode, and Codex CLI. The token ratio for gemini-3.1-flash-image is 100% input / 0% output, indicating how developers interact with the model.
[04]Where does this gemini-3.1-flash-image 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-3.1-flash-image data updated?
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. gemini-3.1-flash-image has been tracked on clawdboard since July 26, 2026.
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