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OpenAI o1 Pricing & Cost Calculator

Simulate enterprise token spend for OpenAI o1. Calculate prompt caching ROI, conversation compounding across multi-turn sessions, and batch execution savings.

Baseline Rate $15.00 in / $60.00 out Per 1,000,000 Tokens
Preset Architecture:

Model Selection

Side-by-Side

1 Token ≈ standard BPE tokenizer token

Volume & Architecture Sliders

Daily Requests / Sessions25,000 / day
10 req/day750,000 req/mo500k req/day
System Prompt + RAG Context4,000 tokens
0Pinned Prefix100,000
User Input per Turn350 tokens
Model Output per Turn600 tokens
Conversation Turns per Session2 Turns (Compounding)

Multi-turn compounding re-sends conversation history each turn: cumulative context grows quadratically.

Prompt Cache Hit Rate60%
0% (No Cache)50%95% Max SLA
Batch API (24h Async Queue)50% discount on supported models (OpenAI, Anthropic, Google)
Primary Model A
OpenAI

OpenAI o1

$129,994/ month
Run-Rate: $1,559,925/yr
Cost / 1k Reqs$173.325
Peak Context5.3k tokens
Comparison Model B
OpenAI

OpenAI o3-mini

$9,533/ month
Run-Rate: $114,395/yr
Cost / 1k Reqs$12.710
Peak Context5.3k tokens
OpenAI o3-mini is 92.7% cheaper
Net Delta: $120,461/mo ($1,445,531/year)
92.7% Margin Impact

Token Spend Composition (OpenAI o1)

Total 8.14B tokens/mo
Fresh Input
$43,425
2.90B toks (33%)
Cached Input
$32,569
4.34B toks (25%)
Model Output
$54,000
900.00M toks (42%)

FinOps Smart Routing Recommendation

Save 65%

By routing 70% of high-volume queries (simple intents, classification, and extraction) to OpenAI o3-mini while keeping 30% on OpenAI o1:

Monthly Savings$84,323
Annualized Run-Rate$1,011,871
Blended Monthly Bill$45,671
Adjust Routing Split:
70%

Volume Tier Cost Projection Table

Standard enterprise benchmark: 3k prompt tokens, 500 output tokens, 2 turns, 50% prompt cache hit.

Updated Daily
Daily Volume Monthly Requests Monthly Cost Annual Run-Rate Cost per 1k Reqs
1,000 req/day 30,000 / mo $4,399 $52,785 $146.625
10,000 req/day 300,000 / mo $43,988 $527,850 $146.625
100,000 req/day 3,000,000 / mo $439,875 $5,278,500 $146.625
1,000,000 req/day 30,000,000 / mo $4,398,750 $52,785,000 $146.625
Max Context Window 200.0k tokens

Flat unit economics across the entire context window with zero cliff surcharge.

Prompt Cache Read Discount 50% Off

Cached reads cost $7.500/1M vs $15.00/1M for standard input.

Batch API SLA 50% Discount

50% off for 24-hour asynchronous batch queuing workloads.

Frequently Asked Questions

What is the official token pricing for OpenAI o1?

OpenAI o1 standard pricing is $15.00 per 1 million input tokens and $60.00 per 1 million output tokens. Prompt cache reads are billed at $7.500 per 1M tokens (50% discount).

How much does OpenAI o1 cost per 1,000 requests?

For a typical enterprise workload (3,000 prompt tokens, 500 output tokens, 2 turns with 50% prompt cache hit), OpenAI o1 costs approximately $146.625 per 1,000 requests.

Does OpenAI o1 have a context-window cliff surcharge?

No. OpenAI o1 features flat, predictable unit economics up to its maximum context window of 200,000 tokens without tiered rate spikes.

What is the best budget alternative model for OpenAI o1?

For high-volume non-reasoning tasks or classification, the recommended budget routing alternative is o3-mini. Routing 70% of simpler intents to this tier typically reduces monthly invoices by over 50%.