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⚡ Quick Pricing Summary

OpenAI o1 by OpenAI costs $15.00 per 1 Million input tokens and $60.00 per 1 Million output tokens. It features a 200k context window and has a blended 3:1 production rate of $26.250/1M tokens.

OpenAI Reasoning / Deep Thinking

OpenAI o1

Advanced reasoning model using Chain-of-Thought reinforcement learning before responding.

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Input Token Price
$15.00
Per 1,000,000 tokens
Output Token Price
$60.00
Per 1,000,000 tokens
Prompt Caching Rate
$7.500
Save up to 80% on cached inputs
Max Context Window
200k
Max output: 100k tokens

Verified Specifications & Benchmark Data

Developer / Provider OpenAI
Model Family o-Series
Blended 3:1 Rate (Production Benchmark) $26.250 / 1M tokens
Batch API Discount (24hr SLA) 50% off standard rate
Multimodal Vision ✅ Supported (Images, Diagrams, OCR)
Function Calling / Structured Outputs ✅ Native Tool Calling
MMLU Benchmark Score 92.3%
Latency & Throughput Tier Thoughtful (~30 t/s)
Optimal Architecture & Use Cases PhD-level science, competitive programming, complex math and multi-step architecture planning

Frequently Asked Questions about OpenAI o1

How much does OpenAI o1 cost per 1M tokens?

OpenAI o1 pricing is set at $15.00 per 1 million input tokens and $60.00 per 1 million output tokens. For high-volume batch workloads, 24-hour batch queues provide a 50% off standard rate.

How much money does OpenAI o1 prompt caching save?

With prompt caching enabled, cached input tokens are discounted to $7.500/1M, saving 50% on repeated system prompts and document vectors.

What is the context window limit of OpenAI o1?

OpenAI o1 has a maximum context window of 200k (200,000 tokens), supporting up to 100,000 completion tokens per response.

Direct Matchups with OpenAI o1

See how OpenAI o1 compares against other leading frontier and open-weights models in cost and latency.