GPT-5.2 vs o3 Deep Research
GPT-5.2 vs o3 Deep Research: GPT-5.2 is cheaper for input-heavy usage ($1.75/M vs $10.00/M input tokens), while GPT-5.2 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose GPT-5.2 for lower token spend and choose GPT-5.2 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-5.2
o3 Deep Research
Cost Differences
o3 Deep Research costs more than GPT-5.2
Quick Recommendation
Winner for direct API pricing: GPT-5.2. At the default workload, GPT-5.2 saves about $63.75/month ($775.625/year) versus o3 Deep Research.
Feature Comparison
| Feature | GPT-5.2 | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.75/1M tokens | $10.00/1M tokens |
| Output Price | $14.00/1M tokens | $40.00/1M tokens |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudiocodereasoning | textreasoningvisioncode |
| Release Date | 12/11/2025 | 6/26/2025 |
GPT-5.2 vs o3 Deep Research: Which Should You Choose?
Choosing between GPT-5.2 and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.2 is the more affordable option at $1.75/1M input tokens — 83% cheaper than o3 Deep Research. Meanwhile, GPT-5.2 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o3 Deep Research.
These models target different tiers: GPT-5.2 is a flagship model while o3 Deep Research is reasoning. This means they're optimized for different workloads. GPT-5.2 is built for complex tasks that require deeper reasoning, while o3 Deep Research offers better value for routine operations.
Output costs matter too. GPT-5.2 charges $14.00/1M 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-5.2 has the edge here at $14.00/1M 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-5.2 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (audio)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Choose o3 Deep Research when:
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
GPT-5.2
- • Input pricing: $1.75/M tokens
- • Output pricing: $14.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Trade-offs are minor in this matchup.
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 input cost than GPT-5.2
- • Higher output cost than GPT-5.2
- • Smaller context window than GPT-5.2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.2 (OpenAI)
o3 Deep Research (OpenAI)
Start using GPT-5.2 today
Sign Up for OpenAI →Start using o3 Deep Research today
Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, GPT-5.2 or o3 Deep Research?▼
What is the context window difference between GPT-5.2 and o3 Deep Research?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.