Benchmark:76.5
Speed:Slow
Training Cutoff:2024-06

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$2.0000
📤
Output / 1M
$8.0000
⚡
Cache Price / 1M
$0.5000
📏
Context Window
200K
200,000 tokens
📝
Max Output
100K
100,000 tokens
🎯
Benchmark & Speed
76.5
Speed: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$0.0195
Output Cost$0.0240
Cache Cost$0.0051
Total$0.0486
Saved: $0.0154

Calculation Details

INPUT
(1,024 / 1M) × $2 + 10req × (976 / 1M) × $2 = $0.0195
OUTPUT
10req × (300 / 1M) × $8 = $0.0240
CACHE
Read: 9req × (1,024 / 1M) × $0.5 = $0.0051

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
OpenAI
400K128K2024-09$1.25$0.125$10.0084.5Standard$0.0435
OpenAI
400K128K2024-09$1.25$0.125$10.0084.25Standard$0.0435
OpenAI
1M32K2024-06$2.00$0.50$8.0079.75Fast$0.0486
xAI
2M--$2.00$0.20$6.0077.75Standard$0.0396
OpenAI
200K100K2024-06$2.00$0.50$8.0074.5Very Slow$0.0486

Provider

OpenAI

Benchmark

84.5

Speed

Standard

Training Cutoff

2024-09

Context Window

400K

Max Output

128K

Input / 1M

$1.25

Cache Price / 1M

$0.125

Output / 1M

$10.00

Total(試算)
In: $0.0122 / Out: $0.0300
$0.0435

Provider

OpenAI

Benchmark

84.25

Speed

Standard

Training Cutoff

2024-09

Context Window

400K

Max Output

128K

Input / 1M

$1.25

Cache Price / 1M

$0.125

Output / 1M

$10.00

Total(試算)
In: $0.0122 / Out: $0.0300
$0.0435

Provider

OpenAI

Benchmark

79.75

Speed

Fast

Training Cutoff

2024-06

Context Window

1M

Max Output

32K

Input / 1M

$2.00

Cache Price / 1M

$0.50

Output / 1M

$8.00

Total(試算)
In: $0.0195 / Out: $0.0240
$0.0486

Provider

xAI

Benchmark

77.75

Speed

Standard

Training Cutoff

-

Context Window

2M

Max Output

-

Input / 1M

$2.00

Cache Price / 1M

$0.20

Output / 1M

$6.00

Total(試算)
In: $0.0195 / Out: $0.018
$0.0396

Provider

OpenAI

Benchmark

74.5

Speed

Very Slow

Training Cutoff

2024-06

Context Window

200K

Max Output

100K

Input / 1M

$2.00

Cache Price / 1M

$0.50

Output / 1M

$8.00

Total(試算)
In: $0.0195 / Out: $0.0240
$0.0486
⚡ 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 Frequently Asked Questions (FAQ)

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

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

o3 (OpenAI) is priced at $2.0000 per 1 million input tokens and $8.0000 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?+

o3 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. Does o3 support Prompt Caching, and how much cost can be saved?+

Yes, o3 supports prompt caching. Cached reads cost $0.5000 per 1M tokens, delivering an estimated 75% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.

Q. What is the benchmark score (76.5) and performance profile of o3?+

o3 achieves an overall benchmark score of 76.5/100 with a "Slow" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.

Q. Which alternative models are comparable to o3?+

Key alternatives in similar price-to-performance tiers include GPT-5.1 Codex, GPT-5-Codex, GPT-4.1. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.