GPT-4.1 nano vs o4-mini: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for GPT-4.1 nano (OpenAI) and o4-mini (OpenAI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 8, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: GPT-4.1 nano at $3.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT-4.1 nano | OpenAI | $3.00 | $0.000300 | $1.00 | $2.00 | 90.9% | Alerts coming soon |
o4-mini | OpenAI | $33.00 | $0.003300 | $11.00 | $22.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | GPT-4.1 nano | o4-mini | Cheaper |
|---|---|---|---|
| Input (standard) | $0.10/M | $1.10/M | GPT-4.1 nano |
| Output | $0.40/M | $4.40/M | GPT-4.1 nano |
| Cached input | $0.03/M | $0.28/M | GPT-4.1 nano |
| Batch input | $0.05/M | $0.55/M | GPT-4.1 nano |
| Batch output | $0.20/M | $2.20/M | GPT-4.1 nano |
Prices last verified: 2026-03-08
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | GPT-4.1 nanoMonthly | o4-miniMonthly | GPT-4.1 nanoPer request | o4-miniPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.30 | $3.30 | $0.000300 | $0.003300 |
| 10K requests/mo | $3.00 | $33.00 | $0.000300 | $0.003300 |
| 100K requests/mo | $30.00 | $330.00 | $0.000300 | $0.003300 |
| 1M requests/mo | $300.00 | $3,300.00 | $0.000300 | $0.003300 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose GPT-4.1 nano
by OpenAI
- Text classification
- Data extraction
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.40/M
Context window
1,047,576
Tier
budget
When to Choose o4-mini
by OpenAI
- Code generation
- Data extraction
Input / 1M tokens
$1.10/M
Output / 1M tokens
$4.40/M
Context window
200,000
Tier
reasoning
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | GPT-4.1 nano | o4-mini |
|---|---|---|
| Context window | 1,047,576 tokens | 200,000 tokens |
| Max output tokens | 32,768 tokens | 100,000 tokens |
| Performance tier | Budget | Reasoning |
| Vision / image input | Yes | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API (50% discount) | Yes | Yes |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | 10,000 | 1,000 |
GPT-4.1 nano notes
Lowest cost OpenAI model. Best for high-volume structured extraction.
o4-mini notes
Configurable reasoning effort. Best budget reasoning model from OpenAI.
Frequently Asked Questions
Is GPT-4.1 nano cheaper than o4-mini?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-4.1 nano costs $30.00/month versus $330.00/month for o4-mini — a 91% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, GPT-4.1 nano or o4-mini?
GPT-4.1 nano has a larger context window at 1,047,576 tokens, compared to 200,000 tokens for o4-mini. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do GPT-4.1 nano and o4-mini support the Batch API?
Yes — both GPT-4.1 nano and o4-mini support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.
Which model offers better prompt caching?
Both GPT-4.1 nano and o4-mini support prompt caching. GPT-4.1 nano caches repeated input at $0.03/M (vs $0.10/M standard), while o4-mini caches at $0.28/M (vs $1.10/M standard). For workloads with large, repeated system prompts or document context, caching can reduce effective input costs by 60–90%.
What are the best use cases for GPT-4.1 nano vs o4-mini?
Both models are well-suited for Data extraction. GPT-4.1 nano is particularly strong for Text classification. o4-mini is favored for Code generation. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for GPT-4.1 nano vs o4-mini?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-4.1 nano costs $0.000300 per request and o4-mini costs $0.003300 per request. At 100,000 requests/month, that translates to $30.00 and $330.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
GPT-4.1 nano vs o4-mini: Summary
When comparing GPT-4.1 nano and o4-mini for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-4.1 nano offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $330.00/month for o4-mini.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-4.1 nano charges $0.10/M for input tokens and $0.40/M for output tokens. o4-mini charges $1.10/M input and $4.40/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Prompt caching is supported by both models. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.
Context window capacity differs between the two: GPT-4.1 nano supports up to 1,047,576 tokens in a single request, versus 200,000 tokens for o4-mini. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
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Relevant Use Cases
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