>qwen3.8-max Usage Statistics
Real usage data for qwen3.8-max from 2 developers on clawdboard. qwen3.8-max is Qwen, an open-source model used through OpenCode Zen and OpenCode Go for AI-assisted coding. All costs are estimated from token counts and published Alibaba API pricing.
As of September 2, 2026 at 7:57 PM UTC, qwen3.8-max ranks #30 out of 167 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 2 developers have used qwen3.8-max, generating $362.43 in estimated API cost and 1.0B tokens (25.7M input, 1.0M output). The average estimated cost per developer is $181.22 (median: $181.22). qwen3.8-max has been tracked on clawdboard since August 6, 2026. Data is updated hourly from opt-in developer usage logs.Last updated: September 2, 2026 at 7:57 PM UTC · Refreshed hourly · Tracked since August 6, 2026
>qwen3.8-max at a Glance
Aggregate qwen3.8-max usage across all 2 developers who have used this model.
Total Estimated Cost
$362.43
0% of community spend
Total Tokens
1.0B
96% input / 4% output
Developers
2
using qwen3.8-max
Model Rank
#30
of 167 tracked models
Detailed breakdown
Avg Cost per Developer
$181.22
median: $181.22
Input Tokens
25.7M
prompt + context
Output Tokens
1.0M
generated responses
Avg Cost per Token
$0.000000
estimated blended rate
>qwen3.8-max Daily Usage Trends
How much are developers spending on qwen3.8-max 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 qwen3.8-max Usage
Last 3 days · 7-day moving average
qwen3.8-max Token Breakdown
Developers have consumed 1.0B tokens through qwen3.8-max, split between 25.7M input tokens (prompts, context, files) and 1.0M output tokens (generated code, explanations, edits).
Prompt caching has processed 7.6M cache creation tokens and 996.2M 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 qwen3.8-max Cost for Coding?
Based on data from 2 developers, the average estimated qwen3.8-max usage cost is $181.22 per developer (all-time). The median is $181.22, reflecting the gap between occasional and heavy qwen3.8-max users.
qwen3.8-max accounts for 0% of total community spend across all 167 tracked models, ranking #30 by estimated cost.
These are estimated API-equivalent costs, not actual bills. Most developers use qwen3.8-max 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 Alibaba Models
Compare qwen3.8-max with other Alibaba models tracked on clawdboard.
qwen3.8-max FAQ
Common questions about qwen3.8-max usage, cost, and performance data.
[01]How much does qwen3.8-max cost for coding?
Based on data from 2 developers on clawdboard, the average estimated qwen3.8-max usage cost is $181.22 per developer (all-time). The median is $181.22. These are estimated API-equivalent costs calculated from token counts and published Alibaba pricing — most developers pay flat subscription fees, not per-token billing.
[02]How popular is qwen3.8-max compared to other AI coding models?
qwen3.8-max ranks #30 out of 167 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 2 developers have used qwen3.8-max. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.
[03]What is qwen3.8-max used for in coding?
qwen3.8-max is Qwen, 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 qwen3.8-max is 96% input / 4% output, indicating how developers interact with the model.
[04]Where does this qwen3.8-max 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 qwen3.8-max data updated?
Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. qwen3.8-max has been tracked on clawdboard since August 6, 2026.
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