Context Window
200,000
Input tokens
Full-context input ≈ $0.40
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/o3-2025-04-16
Pricing updated Apr 25, 2026
Live Pricing
Input: $2.00
Output: $8.00
Last synced Apr 25, 2026 · MMLU score via public benchmark data
OpenAI's o3 model features an extensive context window of 200,000 tokens, making it ideal for applications requiring deep context retention, such as long-form content generation and complex data analysis. Teams leveraging the o3 API can anticipate input costs of $2.00 per 1 million tokens and output costs of $8.00 per 1 million tokens, allowing for scalable budgeting based on usage patterns. This pricing structure supports diverse use cases, from chatbots to large-scale document processing, enabling organizations to optimize their operational efficiency.
Provider Compliance
Context Window
200,000
Input tokens
Full-context input ≈ $0.40
Max Output
100,000
Completion tokens
Input Price / 1M
$2.00
Prompt tokens
Output Price / 1M
$8.00
Completion tokens
Top Benchmark
85.3
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: o3. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$2.00
Current Output / 1M
$8.00
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $2.00 |
| Output (Completion) | $8.00 |
| Cache Read | $0.5000 |
| Web Search | $10,000.00 |
Estimate monthly spend for OpenAI: o3 based on your workload.
Estimated Monthly Cost
$146
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.