Context Window
200,000
Input tokens
Full-context input ≈ $0.22
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/o3-mini-2025-01-31
Pricing updated Apr 25, 2026
Live Pricing
Input: $1.10
Output: $4.40
Last synced Apr 25, 2026 · MMLU score via public benchmark data
OpenAI's o3 Mini model features an extensive context window of 200,000 tokens, making it suitable for applications that require processing large volumes of text, such as legal document analysis and extensive content generation. With an input price of $1.10 per million tokens and an output price of $4.40 per million tokens, teams can effectively budget for high-volume use cases while optimizing their operational costs. This model is particularly advantageous for organizations needing to maintain context over lengthy interactions, such as customer support chatbots or complex data summarization tasks.
Provider Compliance
Context Window
200,000
Input tokens
Full-context input ≈ $0.22
Max Output
100,000
Completion tokens
Input Price / 1M
$1.10
Prompt tokens
Output Price / 1M
$4.40
Completion tokens
Top Benchmark
79.1
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: o3 Mini. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$1.10
Current Output / 1M
$4.40
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $1.10 |
| Output (Completion) | $4.40 |
| Cache Read | $0.5500 |
Estimate monthly spend for OpenAI: o3 Mini based on your workload.
Estimated Monthly Cost
$80
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.