OpenAI o3 Mini High Pricing & Token Economics
OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high.
Normalized Token Pricing Matrix
Real-time input, completion, and cache rates normalized to $/1M tokens.
Cost for prompts, instructions, document retrieval, and system context sent into the model.
Cost for generated text, code, tool calls, and structured JSON responses returned by the model.
Massive 50% savings on repeated context, documents, and system instructions.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
OpenAI o3 Mini High Monthly Bill Estimator
Estimated monthly costs across four standardized enterprise and developer workloads.
| Workload Scenario | Monthly Token Volume | Standard Bill | With Prompt Caching |
|---|---|---|---|
| Customer Support Chatbot 10M prompt tokens + 2.5M output tokens per month | 12.5M tokens (10M in / 2.5M out) | $22.00/mo | $18.15/mo -18% |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $46.20/mo | $34.65/mo -25% |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $132.00/mo | $108.90/mo -17% |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $264.00/mo | $217.80/mo -17% |
Need custom token inputs or prompt volumes?
Use our interactive multi-model token calculator to test exact prompt and completion sliders.
Architecture & Capabilities
Technical parameters, supported modalities, and optimal developer use cases.
🎯 Recommended Use Cases
Competitive coding, precision structured JSON, STEM troubleshooting
Supported Modalities
📐 Context & Output Limits
- Maximum Context Window: 200,000 tokens (200K)
- Maximum Output Length: 100,000 tokens
- Speed / Latency Tier: Fast
- Official Provider: OpenAI
Frequently Asked Questions
Everything you need to know about OpenAI o3 Mini High API pricing and token calculations.
How much does OpenAI o3 Mini High cost per 1M tokens?
OpenAI o3 Mini High charges $1.10 per 1M input tokens and $4.40 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $1.925/1M tokens.
Does OpenAI o3 Mini High support prompt caching?
Yes. Cached prompt reads are billed at $0.5500 per 1M tokens, saving you up to 50% on repeated context, RAG documents, and system instructions.
What is OpenAI o3 Mini High's maximum context window?
OpenAI o3 Mini High supports up to 200,000 tokens (200K) in its context window, allowing you to ingest large files and multi-turn chat history with up to 100,000 tokens generated per response.
How does OpenAI o3 Mini High compare to other models?
With a CostRatio rating of A, OpenAI o3 Mini High provides competitive token economics for reasoning & thinking tasks. Review the peer comparison table above to compare input and completion rates directly against alternative models.
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