Codex vs Claude Cost

Compare Codex vs Claude plan spend.

How this tool works

This head-to-head starts with direct Codex-versus-Claude plan spend, then lets you optionally layer in a usage-priced baseline when you want plan-versus-usage deltas.

How It Works

  1. Set team size and monthly active developers for a plan-only Codex-versus-Claude comparison.
  2. Optionally enable usage-priced baseline and set API-equivalent monthly cost per active developer.
  3. Pick one Codex path and one Claude Code path from the same dated tool-plan snapshot.
  4. Choose comparison mode and apply overflow only from explicit user-entered units and overage price.

Formulas

usage_priced_monthly_spend = monthly_active_developers * api_equivalent_cost_per_active_developer_month

plan_only_monthly_spend = billed_seats * monthly_seat_price

plan_plus_overflow_monthly_spend = billed_seats * monthly_seat_price + monthly_active_developers * overflow_units_per_active_developer_month * overflow_unit_price

Assumptions and Units

  • Currency: USD
  • Plan pricing source: daily tool-plan snapshot in repo with per-source refresh status, no runtime scraping
  • Overflow is explicit user input, not inferred from soft-limit copy or fake quota conversions
  • Usage-priced baseline is optional; when enabled, usage-priced mode has no fixed seat assumption

Example Scenario

Start here when the decision is specifically Codex versus Claude Code, then widen out with AI Coding Plan Comparison when you need Cursor and Copilot in the same frame.

FAQs

Does this infer hidden token quotas? No. Overflow math only uses explicit units and unit pricing that you enter.

What next after the buyer-side decision? Move to AI Coding Agent Cost to validate workflow-side cost and margin drivers.

Related resources: AI Coding Plan Comparison, AI Coding Agent Cost, PR Review Cost, Codex vs Claude Cost, PR Review Cost, Fixed Plan vs API Pricing for Coding Tools, AI Coding Agent Cost per Developer, Model Selection: Quality vs Unit Cost.

Plan pricing snapshot: 2026-06-01Mode: Plan onlyUsage baseline: DisabledBilling: Monthly

Refresh note: Cursor pricing (2026-05-12) reused the last verified values when the latest official refresh failed.

Decision Signal

Plan tie

OpenAI ChatGPT Pro 5x and Anthropic Claude Max 5x is currently lowest at $1,000 per month.

Cheapest active plan lanes are tied at $1,000 per month: OpenAI ChatGPT Pro 5x and Anthropic Claude Max 5x. Enable usage-priced baseline to compare these lanes against current usage.

Step 1 Mode, Plans, and Optional Baseline

Use explicit team and overflow assumptions instead of inferring hidden quotas from plan marketing copy.
  • Start with plan-only mode to compare Codex versus Claude fixed seat spend.
  • Plan + overflow mode is only as good as the explicit overage inputs you provide.
  • Enable usage-priced baseline only when you have a real baseline and need deltas versus current usage.

Scenario actions

Copy scenario URL

Paste into ChatGPT or Claude, or share with a teammate.

Save and track this scenario

Track pricing drift on this scenario and get an email if the latest result changes.

How tracking works

After you click Save and track, we carry this exact calculator state into the tracked-scenarios page so you can sign in and confirm the save.

We save your assumptions and the pricing snapshot used for this result.

When a newer pricing snapshot lands, we recompute the same scenario, show what changed, and email you if the latest result moved.

1 tracked scenario free, then $12/mo or $120/yr for up to 25 tracked scenarios.

Winner monthly team spend

$1,000.00

Codex plan spend

$1,000.00

Claude plan spend

$1,000.00

Codex vs Claude spend gap

$0.00

What changes the result

Sensitivity shows how the Codex-versus-Claude spend gap changes when one input rises by 10%.
Monthly active developers$0.00
Team size$0.00

Codex vs Claude comparison

Rows are lane-level comparisons under Plan only. Usage-priced baseline is currently disabled.

Plan-only mode compares fixed seat spend between Codex and Claude and leaves overflow out on purpose.

OpenAI ChatGPT Pro 5xPro plans include guardrails and higher allowances, not a deterministic token quota.
Seats billed
10
Seat spend
$1,000.00
Overflow spend
Not included in plan-only mode
Team spend
$1,000.00
Delta vs other plan
$0.00
Anthropic Claude Max 5xAnthropic publishes qualitative usage tiers rather than deterministic included quotas.
Seats billed
10
Seat spend
$1,000.00
Overflow spend
Not included in plan-only mode
Team spend
$1,000.00
Delta vs other plan
$0.00
LaneSeats billedSeat spendOverflow spendTeam spendDelta vs other planSource
OpenAI ChatGPT Pro 5xPro plans include guardrails and higher allowances, not a deterministic token quota.10$1,000.00Not included in plan-only mode$1,000.00$0.00ChatGPT Pro plans
Anthropic Claude Max 5xAnthropic publishes qualitative usage tiers rather than deterministic included quotas.10$1,000.00Not included in plan-only mode$1,000.00$0.00Claude plan guide
Sensitivity RankingChange in Codex-versus-Claude plan spend gap when one variable rises by 10%.
VariableDelta decision gap
Monthly active developersDevelopers expected to use the coding tool materially in the month.$0.00
Team sizeLicensed seats compared against each plan's minimum-seat rule.$0.00

Assumptions and Units

Keep mode and overflow inputs explicit so this head-to-head stays auditably honest.
  • CurrencyUSD
  • Tool plan snapshot2026-06-01
  • Comparison modePlan only
  • Usage-priced baseline modeDisabled
  • Team size10
  • Monthly active developers8
  • Codex planOpenAI ChatGPT Pro 5x
  • Claude planAnthropic Claude Max 5x

Sources and Snapshot

Source links come from official vendor plan pages captured in the current dated tool-plan snapshot.
  • Snapshot date: 2026-06-01
  • Mode: Plan only
  • Billing view: Monthly
  • Refresh carry-forwards: 1

Official plan docs

Recommended Next Step

Widen the decision surface once this Codex-vs-Claude lane is clear.

Use this head-to-head for the first buyer-side cut, then expand to broader plan choices and workflow-side economics before locking rollout decisions.