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>deepseek-reasoner Usage Statistics

Real usage data for deepseek-reasoner from 1 developers on clawdboard. deepseek-reasoner is DeepSeek, an open-source model used through OpenCode Zen and OpenCode Go for AI-assisted coding. All costs are estimated from token counts and published DeepSeek API pricing.

As of August 23, 2026 at 5:35 AM UTC, deepseek-reasoner ranks #89 out of 134 tracked AI coding models on clawdboard, accounting for 0% of total community spend. 1 developer has used deepseek-reasoner, generating $0.32 in estimated API cost and 5.6M tokens (621.7k input, 11.6k output). The average estimated cost per developer is $0.32 (median: $0.32). deepseek-reasoner has been tracked on clawdboard since April 9, 2026. Data is updated hourly from opt-in developer usage logs.

Last updated: August 23, 2026 at 5:35 AM UTC · Refreshed hourly · Tracked since April 9, 2026

>deepseek-reasoner at a Glance

Aggregate deepseek-reasoner usage across all 1 developers who have used this model.

Total Estimated Cost

$0.32

0% of community spend

Total Tokens

5.6M

98% input / 2% output

Developers

1

using deepseek-reasoner

Model Rank

#89

of 134 tracked models

Detailed breakdown

Avg Cost per Developer

$0.32

median: $0.32

Input Tokens

621.7k

prompt + context

Output Tokens

11.6k

generated responses

Avg Cost per Token

$0.000000

estimated blended rate

How much are developers spending on deepseek-reasoner 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 deepseek-reasoner Usage

Not enough daily data available yet for trend analysis.

deepseek-reasoner Token Breakdown

Developers have consumed 5.6M tokens through deepseek-reasoner, split between 621.7k input tokens (prompts, context, files) and 11.6k output tokens (generated code, explanations, edits).

Prompt caching has processed 0 cache creation tokens and 5.0M 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..

Input (11%)Output (0%)

How Much Does deepseek-reasoner Cost for Coding?

Based on data from 1 developers, the average estimated deepseek-reasoner usage cost is $0.32 per developer (all-time). The median is $0.32, reflecting the gap between occasional and heavy deepseek-reasoner users.

deepseek-reasoner accounts for 0% of total community spend across all 134 tracked models, ranking #89 by estimated cost.

These are estimated API-equivalent costs, not actual bills. Most developers use deepseek-reasoner 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 deepseek-reasoner with other DeepSeek models tracked on clawdboard.

deepseek-reasoner FAQ

Common questions about deepseek-reasoner usage, cost, and performance data.

[01]How much does deepseek-reasoner cost for coding?

Based on data from 1 developers on clawdboard, the average estimated deepseek-reasoner usage cost is $0.32 per developer (all-time). The median is $0.32. These are estimated API-equivalent costs calculated from token counts and published DeepSeek pricing — most developers pay flat subscription fees, not per-token billing.

[02]How popular is deepseek-reasoner compared to other AI coding models?

deepseek-reasoner ranks #89 out of 134 tracked models by total estimated cost, accounting for 0% of all community spend on clawdboard. 1 developers have used deepseek-reasoner. Higher-tier models often dominate cost share even with fewer users due to higher per-token pricing.

[03]What is deepseek-reasoner used for in coding?

deepseek-reasoner is DeepSeek, 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 deepseek-reasoner is 98% input / 2% output, indicating how developers interact with the model.

[04]Where does this deepseek-reasoner 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 deepseek-reasoner data updated?

Individual developers sync their usage every 2 hours by default. The aggregate statistics on this page are recalculated hourly. deepseek-reasoner has been tracked on clawdboard since April 9, 2026.

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