Verified 2026-03-06 · sourced from OpenAI

100K GPT-5.1 Tokens — Cost Breakdown

Use this guide to benchmark budgets for 100,000 tokens. Standard pricing is $1.25 per million input tokens and $10.00 per million output tokens. Cached input, when available, reduces costs significantly for repeated contexts.

How much do 100K tokens cost?

100K input only
$0.125
100K output only
$1.00
50,000 input + 50,000 output
$0.563

USD, standard uncached token charges. Output-only is a billing comparison across supported requests, not a single-response limit. Cache writes, tools, taxes, and other fees are excluded; prompt length and service mode can change rates.

Scenario breakdown

Cost estimates for different input/output distributions using 100K total tokens.

ScenarioTokens inTokens outStandard costCached cost
Balanced conversation
50% input · 50% output
50,00050,000$0.563$0.506
Input-heavy workflow
80% input · 20% output
80,00020,000$0.300$0.210
Generation heavy
30% input · 70% output
30,00070,000$0.738$0.704
Cached system prompt
90% cached input · 10% fresh output
90,00010,000$0.212$0.111

Workload multipliers

Each run uses 100K tokens split 50/50 between input and output. Daily cost multiplies that request cost; monthly assumes 30 days. Cached columns keep the same split and assume all input qualifies for cache reads, excluding cache writes.

ProfileRuns/dayTokens/dayDaily costMonthly costCached dailyCached monthly
Single workload1100,000$0.563$16.88$0.506$15.19
Daily workload (10 runs)101,000,000$5.63$168.75$5.06$151.88
Team workload (100 runs)10010,000,000$56.25$1687.50$50.63$1518.75

Frequently asked questions

What is the standard cost of 100K GPT-5.1 tokens?

100K input-only tokens cost $0.125; output-only tokens cost $1.00; 50,000 input plus 50,000 output tokens cost $0.563. These are USD token charges at standard rates, excluding cache writes, tools, taxes, and other fees. Output-only is an accounting example across supported requests, not a promise of one response that long.

What happens if cached input is enabled?

With cached contexts, the same 100K tokens drop to $0.506 when all input is an eligible cache read at $0.125 per million tokens.

How many requests does 100K tokens cover?

If your prompts average around 3,000 tokens per call, 100K total tokens cover about 33 requests.

How fresh is the pricing information?

Prices are taken from https://platform.openai.com/docs/pricing and were last verified on 2026-03-06. This guide uses the recorded catalog rates; check the official source before budgeting.

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