Context Window
200,000
Input tokens
Full-context input β $0.22
Model Cost Profile
Developer: openaiΒ· Tokenizer: GPT Β· Quantization: unknown
Canonical ID: openai/o4-mini-2025-04-16
Pricing updated Apr 24, 2026
Live Pricing
Input: $1.10
Output: $4.40
Last synced Apr 24, 2026 Β· MMLU score via public benchmark data
OpenAI's o4 Mini model features an extensive context window of 200,000 tokens, making it suitable for applications requiring deep contextual understanding, such as legal document analysis and long-form content generation. Teams leveraging this API can expect input costs of $1.10 per million tokens and output costs of $4.40 per million tokens, which can impact budget planning for projects involving large datasets. This model's pricing structure allows for scalable integration into workflows, particularly for organizations focused on processing and generating substantial amounts of text.
Provider Compliance
Context Window
200,000
Input tokens
Full-context input β $0.22
Max Output
100,000
Completion tokens
Input Price / 1M
$1.10
Prompt tokens
Output Price / 1M
$4.40
Completion tokens
Top Benchmark
83.2
MMLU score β highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: o4 Mini. The βTop Benchmarkβ 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 | $0.2750 |
| Web Search | $10,000.00 |
Estimate monthly spend for OpenAI: o4 Mini based on your workload.
Estimated Monthly Cost
$80
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.