All Models/o3-pro
Benchmark:78.5
Speed:Very Slow
Training Cutoff:2024-06

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$20.0000
📤
Output / 1M
$80.0000
⚡
Cache Price / 1M
-
📏
Context Window
200K
200,000 tokens
📝
Max Output
100K
100,000 tokens
🎯
Benchmark & Speed
78.5
Speed:Very Slow

Cost Calculator

Simulate estimated API usage cost based on your specific traffic and context size

Calculation Settings

Pricing Tier
▶ Detailed Settings
▶ Presets

Simulation Results

Input Cost$0.40
Output Cost$0.2400
Total$0.64

Calculation Details

INPUT
10req × (2,000 / 1M) × $20 = $0.40
OUTPUT
10req × (300 / 1M) × $80 = $0.2400

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
OpenAI
400K272K2024-09$15.00-$120.0092Slow$0.6600
OpenAI
200K100K2024-06$10.00$2.50$40.0077.5Very Slow$0.2432
Anthropic
200K32K2025-03$15.00$1.50$75.0077.25Standard$0.4044
OpenAI
200K100K2023-10$15.00$7.50$60.0066.25Slow$0.4032
OpenAI
8K8K2023-12$30.00-$60.0061Slow$0.78

Provider

OpenAI

Benchmark

92

Speed

Slow

Training Cutoff

2024-09

Context Window

400K

Max Output

272K

Input / 1M

$15.00

Cache Price / 1M

-

Output / 1M

$120.00

Total(試算)
In: $0.30 / Out: $0.36
$0.6600

Provider

OpenAI

Benchmark

77.5

Speed

Very Slow

Training Cutoff

2024-06

Context Window

200K

Max Output

100K

Input / 1M

$10.00

Cache Price / 1M

$2.50

Output / 1M

$40.00

Total(試算)
In: $0.0976 / Out: $0.1200
$0.2432

Provider

Anthropic

Benchmark

77.25

Speed

Standard

Training Cutoff

2025-03

Context Window

200K

Max Output

32K

Input / 1M

$15.00

Cache Price / 1M

$1.50

Output / 1M

$75.00

Total(試算)
In: $0.1464 / Out: $0.2250
$0.4044

Provider

OpenAI

Benchmark

66.25

Speed

Slow

Training Cutoff

2023-10

Context Window

200K

Max Output

100K

Input / 1M

$15.00

Cache Price / 1M

$7.50

Output / 1M

$60.00

Total(試算)
In: $0.1464 / Out: $0.18
$0.4032

Provider

OpenAI

Benchmark

61

Speed

Slow

Training Cutoff

2023-12

Context Window

8K

Max Output

8K

Input / 1M

$30.00

Cache Price / 1M

-

Output / 1M

$60.00

Total(試算)
In: $0.60 / Out: $0.18
$0.78
⚡ Main Feature

All AI Models Pricing & Cost Simulator

Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.

Open Comparison Tool

o3-pro Frequently Asked Questions (FAQ)

Key insights into o3-pro API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for o3-pro? How much does it cost per 1M tokens?+

o3-pro (OpenAI) is priced at $20.0000 per 1 million input tokens and $80.0000 per 1 million output tokens. The output rate is approximately 4.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.

Q. What are the context window and maximum output limits of o3-pro?+

o3-pro features a 200K context window and a maximum output limit of 100K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.

Q. What are the best practices for optimizing API costs with o3-pro?+

Because output tokens ($80.0000/1M) cost significantly more than inputs, always configure a strict max_tokens ceiling and employ structured output schemas. Additionally, pairing o3-pro with lightweight models for routine tasks via multi-LLM routing can substantially lower total infrastructure spend.

Q. What is the benchmark score (78.5) and performance profile of o3-pro?+

o3-pro achieves an overall benchmark score of 78.5/100 with a "Very Slow" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.

Q. Which alternative models are comparable to o3-pro?+

Key alternatives in similar price-to-performance tiers include GPT-5 pro, o3-deep-research, Claude Opus 4. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.