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What Are OpenAI Codex Pricing Tiers? I Was Confused Too

Cowrie
Cowrie
Dev @ Bswen

Problem

I stared at OpenAI’s Codex pricing page, confused. What’s the difference between Plus and Pro? Is Pro “smarter”? Why does it cost 5x more?

I assumed paying more meant getting a better model. I was wrong.

What I Discovered

The answer hit me when I read a Reddit comment:

“Interesting - that sounds like there is no difference between Plus and Pro except for the number of tokens limit? I always thought Pro was ‘smarter’ too” — Reddit user (Score: 2)

All tiers access the same AI model. The only difference is how many tokens you can use.

The Tier Structure (March 2026)

Here’s what the pricing actually looks like:

OpenAI Codex Pricing Tiers
┌─────────────────┬────────────┬────────────────────┬─────────────────────┐
│ Tier            │ Cost       │ Token Limit        │ Best For            │
├─────────────────┼────────────┼────────────────────┼─────────────────────┤
│ Plus            │ ~$20/mo    │ 1x (baseline)      │ Light usage         │
│ Pro 5x          │ $100/mo    │ 5x Plus            │ Power users         │
│ Pro 20x         │ $200/mo    │ 20x Plus           │ Teams, heavy usage  │
└─────────────────┴────────────┴────────────────────┴─────────────────────┘

Key insight: You’re paying for capacity, not intelligence.

Why This Matters

Understanding this changed how I think about costs:

Per-unit value analysis:

Per-unit cost comparison
Plus:     $20  for 1x   → $20.00 per unit
Pro 5x:   $100 for 5x   → $20.00 per unit
Pro 20x:  $200 for 20x  → $10.00 per unit

Pro 20x offers the best per-unit value. But that doesn’t mean it’s right for everyone.

How to Choose

I made a simple decision framework:

Decision flow
Start with Plus
       │
       ▼
Track usage for 30 days
       │
       ▼
Hitting limits weekly?
       │
    ┌──┴──┐
    │     │
   Yes    No
    │     │
    ▼     ▼
Pro 5x  Stay on Plus

The Reddit community confirmed this approach:

“I want a $50 plan so bad. That’s enough for me” — Reddit user (Score: 3)

There’s a gap between Plus ($20) and Pro 5x ($100) that many users want filled.

Monitoring Your Usage

I wrote a simple script to track token consumption:

token_monitor.py
import openai


def track_token_usage(response):
    """Track token usage per API call"""
    usage = response.usage
    print(f"Prompt tokens: {usage.prompt_tokens}")
    print(f"Completion tokens: {usage.completion_tokens}")
    print(f"Total tokens: {usage.total_tokens}")


    return usage.total_tokens


# Track cumulative usage
class UsageTracker:
    def __init__(self, tier="plus"):
        self.tier = tier
        self.daily_tokens = 0
        self.limits = {
            "plus": 100000,
            "pro-5x": 500000,
            "pro-20x": 2000000
        }


    def check_usage(self):
        limit = self.limits[self.tier]
        percentage = (self.daily_tokens / limit) * 100
        print(f"Usage: {percentage:.1f}% of daily limit")
        return percentage

Run this for a month before deciding to upgrade.

Common Mistakes

Mistake 1: Assuming Pro = Smarter AI I paid for Pro thinking I’d get better answers. The model is the same.

Mistake 2: Overbuying for solo work As an individual developer, I don’t need Pro 20x. Plus would have been fine.

Mistake 3: Ignoring the 2x multiplier changes The Reddit discussion about 2x limits made me realize pricing is fluid. What’s true today may change next month.

Mistake 4: Not calculating real costs I didn’t do the per-unit math until I wrote this post. Pro 20x is actually the best value per token.

Summary

In this post, I clarified that OpenAI Codex pricing tiers differ only in token limits, not model intelligence. All tiers use the same AI model. The key point is to start with Plus, track your actual usage for 30 days, then decide if you need to upgrade.

Don’t pay for capacity you won’t use. And don’t expect “Pro” to mean “smarter”—it just means “more tokens.”

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

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