Real usage data for glm-4.5-air from 1 developers on clawdboard. glm-4.5-air is GLM, an open-source model used through OpenCode Zen and OpenCode Go for AI-assisted coding. All costs are estimated from token counts and published Zhipu AI API pricing.
As of May 15, 2026 at 3:15 PM UTC, glm-4.5-air ranks #62 out of 67 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used glm-4.5-air, generating $0.02 in estimated API cost and 1.9M tokens (85.0k input, 3.6k output). The average estimated cost per developer is $0.02 (median: $0.02). glm-4.5-air has been tracked on clawdboard since May 11, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: May 15, 2026 at 3:15 PM UTC · Refreshed hourly · Tracked since May 11, 2026
Aggregate glm-4.5-air usage across all 1 developers who have used this model.
Total Estimated Cost
$0.02
0% of community spend
Total Tokens
1.9M
96% input / 4% output
Developers
1
using glm-4.5-air
Model Rank
#62
of 67 tracked models
Detailed breakdown
Avg Cost per Developer
$0.02
median: $0.02
Input Tokens
85.0k
prompt + context
Output Tokens
3.6k
generated responses
Avg Cost per Token
$0.000000
estimated blended rate
How much are developers spending on glm-4.5-air 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.
Last 1 days · 7-day moving average
Developers have consumed 1.9M tokens through glm-4.5-air, split between 85.0k input tokens (prompts, context, files) and 3.6k output tokens (generated code, explanations, edits).
Prompt caching has processed 0 cache creation tokens and 1.8M 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..
Based on data from 1 developers, the average estimated glm-4.5-air usage cost is $0.02 per developer (all-time). The median is $0.02, reflecting the gap between occasional and heavy glm-4.5-air users.
glm-4.5-air accounts for 0% of total community spend across all 67 tracked models, ranking #62 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use glm-4.5-air 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.
Compare glm-4.5-air with other Zhipu AI models tracked on clawdboard.
Common questions about glm-4.5-air usage, cost, and performance data.
Based on data from 1 developers on clawdboard, the average estimated glm-4.5-air usage cost is $0.02 per developer (all-time). The median is $0.02. These are estimated API-equivalent costs calculated from token counts and published Zhipu AI pricing — most developers pay flat subscription fees, not per-token billing.
glm-4.5-air ranks #62 out of 67 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used glm-4.5-air. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
glm-4.5-air is GLM, an open-source model used through OpenCode Zen and OpenCode Go for AI-assisted coding. Developers use it through AI coding tools tracked by clawdboard — including Claude Code, OpenCode, and Codex CLI. The token ratio for glm-4.5-air is 96% input / 4% output, indicating how developers interact with the model.
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.
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. glm-4.5-air has been tracked on clawdboard since May 11, 2026.
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