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GPT-4 Turbo vs o3 Deep Research

Compare OpenAI and OpenAI AI models

OpenAI
GPT-4 Turbo
vs
OpenAI
o3 Deep Research

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

GPT-4 Turbo

Per Request:$0.025
Daily:$2.50
Monthly:$75.00
Yearly:$912.50

o3 Deep Research

Per Request:$0.03
Daily:$3.00
Monthly:$90.00
Yearly:$1,095.00

Cost Differences

+$0.005000
Per Request
+$0.50
Daily
+$15.00
Monthly
+$182.50
Yearly

o3 Deep Research costs more than GPT-4 Turbo

Feature Comparison

FeatureGPT-4 Turboo3 Deep Research
ProviderOpenAIOpenAI
Input Price$10.00/1M tokens$10.00/1M tokens
Output Price$30.00/1M tokens$40.00/1M tokens
Context Window128,000 tokens200,000 tokens
Max Output4,096 tokens32,768 tokens
Categoryflagshipreasoning
Capabilities
textvisioncode
textreasoningvisioncode
Release Date4/9/20246/26/2025

GPT-4 Turbo vs o3 Deep Research: Which Should You Choose?

Choosing between GPT-4 Turbo and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. GPT-4 Turbo is the more affordable option at $10.00/1M input tokens. Meanwhile, o3 Deep Research offers a significantly larger context window at 200,000 tokens vs 128,000 for GPT-4 Turbo.

These models target different tiers: GPT-4 Turbo is a flagship model while o3 Deep Research is reasoning. This means they're optimized for different workloads. GPT-4 Turbo is built for complex tasks that require deeper reasoning, while o3 Deep Research offers better value for routine operations.

Output costs matter too. GPT-4 Turbo charges $30.00/1M output tokens vs $40.00 for o3 Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4 Turbo has the edge here at $30.00/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose GPT-4 Turbo when:

  • • You're already using OpenAI's API ecosystem

Choose o3 Deep Research when:

  • • You need a larger context window (200,000 tokens)
  • • You need more capabilities (reasoning)
  • • 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 Turbo (OpenAI)

o3 Deep Research (OpenAI)

Start using GPT-4 Turbo today

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Frequently Asked Questions

Which is cheaper, GPT-4 Turbo or o3 Deep Research?
GPT-4 Turbo is cheaper for input tokens at $10.00 per million tokens vs $10.00 for o3 Deep Research.
What is the context window difference between GPT-4 Turbo and o3 Deep Research?
GPT-4 Turbo supports 128,000 tokens while o3 Deep Research supports 200,000 tokens — a difference of 72,000 tokens in favor of o3 Deep Research.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-4 Turbo is the lower-cost option, while o3 Deep Research offers a larger context window (200,000 vs 128,000 tokens). Choose GPT-4 Turbo for budget sensitivity or o3 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 Turbo costs about $75.00/month and o3 Deep Research costs about $90.00/month. Overall, GPT-4 Turbo has lower combined input + output rates ($10.00 in, $30.00 out) vs o3 Deep Research.

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