OpenAI: O4 Mini
openai/o4-mini
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
Model specifications
- Input
- text
- Output
- text
- Context
- 200,000 tokens
- Max output
- 32,768 tokens
- Input price
- $0.9075 / 1M tokens
- Output price
- $3.63 / 1M tokens
- Released
- 2026-02-18
Capabilities
- Streaming
- Function calling
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · discounts up to 25% · tier input average $0.9075 / 1M tokens · tier output average $3.63 / 1M tokens
Azure
Tier: Standard · Region: US
Pricing
- Input
- $0.9075 / 1M tokens
- Output
- $3.63 / 1M tokens
Discounts
- Input: 25% off — list $1.21 / 1M tokens, discounted $0.9075 / 1M tokens, effective $0.9075 / 1M tokens
- Output: 25% off — list $4.84 / 1M tokens, discounted $3.63 / 1M tokens, effective $3.63 / 1M tokens
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- Yes
- SOC 2 certified
- Yes
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Status
Frequently asked questions
- What is OpenAI: O4 Mini?
- OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
- How much does OpenAI: O4 Mini cost?
- Input costs start at $0.9075 / 1M tokens and output costs start at $3.63 / 1M tokens. Provider-level prices vary by service tier.
- Are provider discounts available for OpenAI: O4 Mini?
- Yes. Current provider offers include discounts of up to 25% from list price. The provider table shows list, discounted, and effective prices.
- What is the context length of OpenAI: O4 Mini?
- OpenAI: O4 Mini supports a 200,000 token context window and up to 32,768 output tokens.
- What capabilities does OpenAI: O4 Mini support?
- OpenAI: O4 Mini supports Streaming, Function calling, JSON mode, Playground.
- Which providers offer OpenAI: O4 Mini?
- OpenAI: O4 Mini is available from Azure.
- How do providers handle data privacy for OpenAI: O4 Mini?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.