WorkBuddy, Doubao, Qwen, Kimi: Which AI Office Agent Tier Actually Covers Your Workflow?

Introduction

Over the past two months, Tencent, Alibaba, ByteDance, and Moonshot (Kimi) have nearly simultaneously pushed their office AI agents onto paid desktop plans. While model capabilities are rapidly converging, the wallet impact varies dramatically: the same request—"summarize meeting notes and create a PPT"—leaves some users with most of their monthly quota untouched, while others burn through a paid tier in a week. The difference lies not in product strength but in whether you have calculated the true cost.

This analysis does not judge which agent is smarter; it lays out each vendor's pricing, credit mechanics, and real-world consumption side by side to help you decide which tier is genuinely sufficient.

1. Pricing Landscape: From Free Trial to 999 RMB/Month Flagship

All four personal entry tiers are priced under 100 RMB/month—Doubao's standard tier at 68 RMB, Kimi's entry at 49 RMB. Vendors use low prices to lower the barrier to entry. However, flagship tiers diverge sharply: WorkBuddy's flagship reaches 999 RMB/month (the highest), targeting heavy workflow-dependent professionals; Doubao caps at 500 RMB; Qwen currently tops at 198 RMB (with a 19 RMB promotional tier during public beta); Kimi's premium tier sits at 699 RMB.

Personal Tier Pricing (RMB/month)
Entry Tier (<100) | Flagship Tier
WorkBuddy         | 99  | 999
Doubao            | 68  | 500
Qwen              | 98  | 198 (highest)
Kimi Work         | 49  | 699

Pricing strategy aligns with product roadmap: WorkBuddy uses enterprise edition for organizations and flagship for high-value individuals; Doubao pursues volume with low unit price; Qwen leverages generous free quotas during public beta to acquire users; Kimi attracts researchers with a cheap entry tier, then monetizes high-net-worth users via parallel Swarm and database plugins.

2. Credit Mechanism Dissection: Free Quotas Only Good for a Taste

All four adopt a "credits = compute consumption" metering model. Every command, generated file, or external tool call deducts credits. The critical issue: free quotas are universally only enough for a taste .

WorkBuddy Experience tier: 500 credits/month. A single deep research task consumes 300–800 credits—free tier barely verifies "it works," not daily office use.

Qwen Public beta: 2,000 credits on registration, plus 100 daily login bonus, valid 90 days. Most generous, but quotas and capacity are the real hooks.

Doubao Free tier: no feature restrictions, but cannot generate PPT, Excel, or video —output capability is crippled.

Kimi Work Free tier: only 1 deep research and 3 PPT generations per month.

A user who started with WorkBuddy in April reported surviving on free credits, sign-in rewards, and task bonuses until July, then switched to paid primarily for research and insights. Another real-world test showed the 140 RMB/month advanced tier lasted only one week. This confirms: anyone integrating an agent into daily workflow will eventually hit the quota wall and face "upgrade or switch" decisions.

3. Real Consumption: Estimating Costs with Identical Tasks

List prices mean little without "cost per identical task." Guangzhou Daily conducted a rare cross-product test: same meeting transcript + same PPT requirement run on all four products. The credit consumption gap was staggering.

Same Meeting Transcript + PPT: Credit Consumption (Real Test)
Coze (扣子)      | 1121.97
Qwen (千问)       | ≈48
WorkBuddy         | Within free quota
Doubao            | Within free quota
Gap: 20x+ | Heavier tasks → credits spiral (Deep research WB ~300–800 credits/run)

The same job can cost 20x more. The gap stems from (1) underlying model invocation cost and (2) whether the vendor has optimized high-frequency scenarios like "meeting transcript + PPT." Additional typical unit costs (from public tests and user feedback, for reference): one deep research ≈ 300–800 credits; a 12-slide PPT on Qwen ≈ 1,000 credits; one weekly report via Baidu's "搭子" ≈ 80–150 credits.

Pattern is clear: lighter tasks show smaller inter-vendor differences; heavier tasks make credit consumption spiral out of control. That's why power users constantly probe flagship tier limits—not because features are lacking, but because quotas are insufficient.

4. Enterprise Ledger: 198 RMB/Seat/Month SaaS vs 316 RMB Private Cloud

Individuals calculate small accounts; enterprises calculate large ones. WorkBuddy's enterprise pricing is the most transparent, serving as a benchmark. Two tiers, both per-seat with shared team credit pool:

WorkBuddy Enterprise: SaaS 198 vs Private Cloud 316 (RMB/seat/month)
SaaS Enterprise          | 198 | 1 seat minimum | 2,000 credits/seat/month (shared) | SSO, usage control, security audit | Suits small/medium teams
Private Cloud Enterprise | 316 | 100 seats minimum | 2,000 credits/seat/month (shared) | Dedicated network, tenant isolation | Suits hard data-compliance constraints
Reference: Doubao Enterprise 1188/2488/5488 RMB/seat/year; Qwen Enterprise 198 RMB/month/seat

The 60% premium for private cloud buys "data never leaves enterprise boundary"—for finance, government, healthcare, this isn't a premium but a compliance gate. Selection logic: small/medium teams, budget-sensitive, general compliance → SaaS 198 tier sufficient (shared pool amortizes cost); data sovereignty hard requirement, need private deployment or tenant isolation → private cloud; already entrenched in DingTalk/Feishu ecosystem → pick corresponding Qwen/Doubao enterprise edition to avoid hidden context-migration costs.

5. Hidden Costs: Top-up Packs, Peak/Off-Peak Pricing, Queue Priority Passes

Beyond list prices, three often-overlooked cost vectors exist.

First: Top-up Packs

WorkBuddy sells credit top-up packs (~1,000 credits for 50 RMB). Official guidance: long-term high-volume users should upgrade tier instead—flagship costs 800 RMB/month more than advanced but delivers tens of thousands more credits, yielding far lower unit cost. Top-up packs suit occasional overages, not daily overages.

Second: Peak/Off-Peak & API Costs

Kimi takes a different route: beyond desktop membership, platform API is billed per token in real time (K2.6 input ~$0.95/M, output ~$4/M, cache hit ~$0.1). Hybrid teams often use "desktop for WebBridge + scheduled tasks, API for CI pipelines"—two separate accounting systems.

Third: Queue Priority Passes

This is the most invisible cost. After WorkBuddy integrated Hy3 in July, free compute peak queue rates exceeded 50% until emergency scaling stabilized. Paid tiers universally include "speed priority"—Kimi's paid tier explicitly states 4× agent speed priority. In effect, free and budget tiers buy not features but "waiting." You think you save money, but you actually shift time cost onto yourself. This echoes the previous "credit assassin" insight: opaque cost is the most expensive part of office agents.

6. Recommendation: Run Your Real Workflow for a Week Before Buying

All analysis boils down to one execution rule: Don't buy based on leaderboards or marketing; run your own real workflow first. Concrete steps:

Pick identical real tasks. Not toy tasks like "write a poem." Use your actual weekly work: organize one meeting summary, create one weekly report PPT, run one competitor research round. Feed each to all four free tiers.

Run for a full week. One day hides problems; a week exposes whether quota lasts, whether long chains break, whether it still responds after screen lock.

Evaluate three metrics: (a) Does quota last a week? (b) Is output quality good enough to ship directly? (c) Does it integrate smoothly with your existing collaboration stack (WeChat/DingTalk/Feishu)?

Then choose tier: Light users: free or entry tier suffices. Those treating the agent as a production tool: go straight to advanced/flagship; don't bounce between mid-tier and top-up packs.

Final reminder: our previous selection iron law— Compute Stability > Data Privacy > Ecosystem Fit > Features > Price . Pricing is only one link. Calculating the bill is not just to avoid sticker shock, but to truly embed the agent into your workflow instead of the vendor's renewal trap.

One more often-missed account: Switching cost itself is part of pricing. Skills, automated tasks, and WeChat ecosystem integrations built in WorkBuddy must be rebuilt from zero on Doubao. DingTalk organizational context fed into Qwen becomes nearly worthless outside DingTalk. That's why all three vendors weld agents into their own collaboration software: they sell not just features, but "work memory" that becomes prohibitively expensive to move once you're habituated. Figure out whether you can escape before comparing prices—the order cannot be reversed.