GPT-4 Turbo vs o3 Deep Research
GPT-4 Turbo vs o3 Deep Research: GPT-4 Turbo is cheaper for input-heavy usage ($10.00/M vs $10.00/M input tokens), while o3 Deep Research is better for long-context tasks (200,000 tokens).
Direct answer: choose GPT-4 Turbo for lower token spend and choose o3 Deep Research when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4 Turbo
o3 Deep Research
Cost Differences
o3 Deep Research costs more than GPT-4 Turbo
Quick Recommendation
Winner for direct API pricing: GPT-4 Turbo. At the default workload, GPT-4 Turbo saves about $15.00/month ($182.50/year) versus o3 Deep Research.
Feature Comparison
| Feature | GPT-4 Turbo | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $10.00/1M tokens | $10.00/1M tokens |
| Output Price | $30.00/1M tokens | $40.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 4,096 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisioncode | textreasoningvisioncode |
| Release Date | 4/9/2024 | 6/26/2025 |
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
Pros and Caveats at a Glance
GPT-4 Turbo
- • Input pricing: $10.00/M tokens
- • Output pricing: $30.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Smaller context window than o3 Deep Research
o3 Deep Research
- • Input pricing: $10.00/M tokens
- • Output pricing: $40.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher output cost than GPT-4 Turbo
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4 Turbo (OpenAI)
o3 Deep Research (OpenAI)
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