Skip to main content

GPT-4.1 nano vs o4-mini Deep Research

Compare OpenAI and OpenAI AI models

OpenAI
GPT-4.1 nano
vs
OpenAI
o4-mini Deep Research

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-4.1 nano

Per Request:$0.000300
Daily:$0.03
Monthly:$0.90
Yearly:$10.95

o4-mini Deep Research

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

+$0.005700
Per Request
+$0.57
Daily
+$17.10
Monthly
+$208.05
Yearly

o4-mini Deep Research costs more than GPT-4.1 nano

Feature Comparison

FeatureGPT-4.1 nanoo4-mini Deep Research
ProviderOpenAIOpenAI
Input Price$0.10/1M tokens$2.00/1M tokens
Output Price$0.40/1M tokens$8.00/1M tokens
Context Window128,000 tokens200,000 tokens
Max Output8,192 tokens32,768 tokens
Categoryefficientreasoning
Capabilities
text
textreasoningcode
Release Date4/14/20256/26/2025

GPT-4.1 nano vs o4-mini Deep Research: Which Should You Choose?

Choosing between GPT-4.1 nano and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens95% cheaper than o4-mini Deep Research. Meanwhile, o4-mini Deep Research offers a significantly larger context window at 200,000 tokens vs 128,000 for GPT-4.1 nano.

These models target different tiers: GPT-4.1 nano is a efficient model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research targets more demanding workloads, while GPT-4.1 nano provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 nano has the edge here at $0.40/1M output tokens.

Best Use Cases

Choose GPT-4.1 nano when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose o4-mini Deep Research when:

  • • You need a larger context window (200,000 tokens)
  • • You need more capabilities (reasoning, code)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-4.1 nano (OpenAI)

o4-mini Deep Research (OpenAI)

Start using GPT-4.1 nano today

Sign Up for OpenAI

Start using o4-mini Deep Research today

Sign Up for OpenAI

Frequently Asked Questions

Which is cheaper, GPT-4.1 nano or o4-mini Deep Research?
GPT-4.1 nano is cheaper for input tokens at $0.10 per million tokens vs $2.00 for o4-mini Deep Research — that's 95% savings on input costs.
What is the context window difference between GPT-4.1 nano and o4-mini Deep Research?
GPT-4.1 nano supports 128,000 tokens while o4-mini Deep Research supports 200,000 tokens — a difference of 72,000 tokens in favor of o4-mini Deep Research.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-4.1 nano is the lower-cost option, while o4-mini Deep Research offers a larger context window (200,000 vs 128,000 tokens). Choose GPT-4.1 nano for budget sensitivity or o4-mini Deep Research for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-4.1 nano costs about $0.90/month and o4-mini Deep Research costs about $18.00/month. Overall, GPT-4.1 nano has lower combined input + output rates ($0.10 in, $0.40 out) vs o4-mini Deep Research.

Related Comparisons

Related Articles