Real usage data for glm-4.7 from 2 developers on clawdboard. glm-4.7 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 3:16 PM UTC, glm-4.7 ranks #31 out of 67 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 2 developers have used glm-4.7, generating $20.32 in estimated API cost and 162.3M tokens (8.1M input, 745.7k output). The average estimated cost per developer is $10.16 (median: $10.16). glm-4.7 has been tracked on clawdboard since April 8, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: May 15, 2026 at 3:16 PM UTC · Refreshed hourly · Tracked since April 8, 2026
Aggregate glm-4.7 usage across all 2 developers who have used this model.
Total Estimated Cost
$20.32
0% of community spend
Total Tokens
162.3M
92% input / 8% output
Developers
2
using glm-4.7
Model Rank
#31
of 67 tracked models
Detailed breakdown
Avg Cost per Developer
$10.16
median: $10.16
Input Tokens
8.1M
prompt + context
Output Tokens
745.7k
generated responses
Avg Cost per Token
$0.000000
estimated blended rate
How much are developers spending on glm-4.7 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 7 days · 7-day moving average
Developers have consumed 162.3M tokens through glm-4.7, split between 8.1M input tokens (prompts, context, files) and 745.7k output tokens (generated code, explanations, edits).
Prompt caching has processed 0 cache creation tokens and 153.4M 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 2 developers, the average estimated glm-4.7 usage cost is $10.16 per developer (all-time). The median is $10.16, reflecting the gap between occasional and heavy glm-4.7 users.
glm-4.7 accounts for 0% of total community spend across all 67 tracked models, ranking #31 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use glm-4.7 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-4.7 with other Zhipu AI models tracked on clawdboard.
Common questions about glm-4.7 usage, cost, and performance data.
Based on data from 2 developers on clawdboard, the average estimated glm-4.7 usage cost is $10.16 per developer (all-time). The median is $10.16. 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-4.7 ranks #31 out of 67 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 2 developers have used glm-4.7. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
glm-4.7 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-4.7 is 92% input / 8% 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-4.7 has been tracked on clawdboard since April 8, 2026.
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