Back to blog

Token packs vs Coding Plans — which one should you buy?

A side-by-side comparison of the two most common AI API pricing models in 2026, with decision rules for solo devs, indie founders, and small teams.

Aug 8, 2026AgentExample TeamAgentExample Team

When you sign up for an AI API today, you'll most often see one of two pricing models:

  1. Coding Plan — fixed monthly fee, generous token quota, IDE/tool integration (Zhipu, Qwen, ZenMux, etc.)
  2. Token Pack — pre-paid token bundles, deduct per call, no monthly commitment (LongCat / Meituan, SiliconFlow, etc.)

Plus a third that's often mixed in:

  1. Pay-as-you-go — pure per-token billing, no bundle at all (DeepSeek)

Here's how to choose.

Quick decision table

Your situationBest fit
Daily stable 100+ API calls, mostly a single projectCoding Plan
Burst-y / PoC / evaluation / "I'm not sure I'll stick with this"Token Pack
Production API with steady 24/7 trafficPay-as-you-go (with high-volume rate)
Spiky weekend hackathons + weekdays 0 callsToken Pack
You're a student / hobbyist, $10/mo budgetToken Pack (cheapest entry)
Multi-vendor setup (OpenAI + local + open-source)Pay-as-you-go

What's actually different

Coding Plan:

  • ✅ Predictable monthly cost
  • ✅ High volume at flat rate (best cost-per-call at scale)
  • ❌ Idle months still cost the full subscription
  • ❌ Usually one vendor (hard to multi-vendor)
  • ❌ Requires commitment to estimate quota needs

Token Pack:

  • ✅ No commitment, no idle waste
  • ✅ Try multiple vendors easily
  • ✅ Suits PoC + spiky workloads
  • ❌ No volume discount (per-token rate is often higher than Coding Plan)
  • ❌ Unused balance sits idle (no refund)

Pay-as-you-go:

  • ✅ Zero commitment, zero idle
  • ✅ Best for production at scale (high-volume rates)
  • ❌ Need to monitor spend — runaway calls = big bill
  • ❌ Upfront experimentation cost can be high

Real example: $20/month budget

Solo dev, building a side project, ~500 calls/day, mostly GPT-4 class models:

  • Coding Plan: Zhipu Lite ¥29/mo = unlimited calls in that tier. If you actually use 500/day = 15k/mo, you save ~50% vs pay-as-you-go.
  • Token Pack: Meituan LongCat ¥29 = ~3M tokens. Enough for ~1500 GPT-4 class calls. More than enough for a side project. If you don't use it in a month, the balance carries forward.
  • Pay-as-you-go: DeepSeek at ¥1/1M input = you spend ~¥15-20/mo on 15k calls. Same as Coding Plan but no commitment.

For this scenario, Token Pack is the lowest-risk choice.

Real example: production app, 50k calls/day

  • Coding Plan: too expensive at this scale (most plans cap at lower volumes)
  • Pay-as-you-go: ¥1500/mo at ¥1/1M, ¥0.5 if you negotiate volume
  • Token Pack: doesn't apply — you need a contract, not a top-up

Pay-as-you-go wins here.

How to switch

  • Most vendors let you buy a Token Pack and then upgrade to Coding Plan without losing the pack balance
  • Pay-as-you-go is usually just "get an API key" — no plan commitment
  • Moving from one vendor to another is a 5-minute BaseURL swap if they support OpenAI's API shape

TL;DR

  • Burst-y / PoC / hobbyist → Token Pack
  • Stable daily volume, single vendor → Coding Plan
  • Production scale / multi-vendor → Pay-as-you-go

If you're not sure, start with a Token Pack. There's no commitment and you can switch to a Coding Plan in a week if you find yourself consistently heavy-using one vendor.