PE Collective
OpenAI API Pricing: What Each Model Actually Costs
OpenAI's pricing has gotten significantly cheaper since 2024, but the model lineup is confusing. GPT-4o, GPT-4o-mini, o1, o1-mini, o3-mini. Here's what each model costs, when to use which, and what a typical production app actually spends.
GPT-4o-mini
- ✓ Cheapest GPT-4 class model
- ✓ Good for classification, extraction, simple chat
- ✓ 128K context window
- ✓ Fast response times (1-3 seconds)
- ✓ Best cost-per-quality ratio for simple tasks
GPT-4o
- ✓ Flagship model for most use cases
- ✓ Strong coding, analysis, and creative writing
- ✓ 128K context window
- ✓ Vision capability (analyze images)
- ✓ Function calling and structured output
o1-mini
- ✓ Reasoning-focused model
- ✓ Better than GPT-4o on math, science, coding
- ✓ Chain-of-thought reasoning built in
- ✓ 128K context window
- ✓ Good for complex multi-step problems
o1
- ✓ Most capable reasoning model
- ✓ PhD-level performance on benchmarks
- ✓ 200K context window
- ✓ Best for research, complex analysis
- ✓ Function calling supported
Hidden Costs & Gotchas
- ⚠ Output tokens cost 4x more than input tokens. Verbose prompts that generate long responses can blow up costs. Keep output instructions tight.
- ⚠ The o1 models use internal reasoning tokens that you pay for but don't see. A simple-looking o1 response might consume 5-10x more tokens than the visible output.
- ⚠ Batch API gives you 50% off but adds latency (results within 24 hours). Worth it for non-real-time processing.
- ⚠ Rate limits on free tier are tight: 3 RPM for o1, 500 RPM for GPT-4o-mini. You need to pay $5+ to unlock higher limits.
- ⚠ Embedding models (text-embedding-3-small at $0.02/1M tokens) are very cheap. Don't overlook them for RAG pipelines.
Which Plan Do You Need?
Chatbot or simple automation
GPT-4o-mini at $0.15/$0.60 per 1M tokens. It's 17x cheaper than GPT-4o and handles classification, extraction, and simple conversations well. Start here and upgrade only when quality matters.
Production AI application
GPT-4o at $2.50/$10 per 1M tokens for your main model. Route simple tasks to GPT-4o-mini to save costs. A typical app processing 10K requests/day costs $30-100/month.
Research or complex reasoning
o1-mini for most reasoning tasks ($3/$12 per 1M). Only use full o1 ($15/$60) when you need maximum accuracy on very hard problems. The cost difference is 5x.
The Bottom Line
GPT-4o-mini is the best value in AI APIs. At $0.15/1M input tokens, it's practically free for most use cases. GPT-4o hits the sweet spot for production apps that need quality. Use o1 models sparingly for hard problems. The biggest cost-saving move: route requests to the cheapest model that can handle each task.
Related Resources
Frequently Asked Questions
How much does the OpenAI API cost?
It depends on the model. GPT-4o-mini costs $0.15 per 1M input tokens (cheapest). GPT-4o costs $2.50 per 1M input tokens (most popular). o1 costs $15 per 1M input tokens (most capable). Output tokens cost 4x more than input across all models.
What does a typical OpenAI API app cost per month?
A small chatbot processing 1,000 conversations/day with GPT-4o-mini costs about $5-15/month. A production app with 10,000 daily requests using GPT-4o costs $30-100/month. Costs scale linearly with usage.
Is GPT-4o-mini good enough for production?
For many use cases, yes. It handles classification, extraction, summarization, and simple chat well. It struggles with complex reasoning, nuanced writing, and multi-step analysis. Test your specific use case before deciding.
How does OpenAI pricing compare to Anthropic?
Claude 3.5 Sonnet ($3/$15 per 1M tokens) is slightly more expensive than GPT-4o ($2.50/$10) but many developers find it produces better results for coding and analysis. Claude 3.5 Haiku ($0.25/$1.25) competes with GPT-4o-mini ($0.15/$0.60).