GPT-5.6 Terra vs o3 Deep Research
Pricing verdict: GPT-5.6 Terra vs o3 Deep Research: GPT-5.6 Terra is cheaper for input-heavy usage ($2.50/M vs $10.00/M input tokens), while GPT-5.6 Terra is better for long-context tasks (1,050,000 tokens).
Direct answer: choose GPT-5.6 Terra for lower token spend and choose GPT-5.6 Terra when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.6 Terra
o3 Deep Research
Cost Differences
o3 Deep Research costs more than GPT-5.6 Terra
Quick Recommendation
Winner for direct API pricing: GPT-5.6 Terra. At the default workload, GPT-5.6 Terra saves about $60.00/month ($730.00/year) versus o3 Deep Research.
Feature Comparison
| Feature | GPT-5.6 Terra | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $2.50/1M tokens | $10.00/1M tokens |
| Output Price | $15.00/1M tokens | $40.00/1M tokens |
| Context Window | 1,050,000 tokens | 200,000 tokens |
| Max Output | 128,000 tokens | 32,768 tokens |
| Category | balanced | reasoning |
| Capabilities | textvisioncodereasoning | textreasoningvisioncode |
| Release Date | 6/26/2026 | 6/26/2025 |
GPT-5.6 Terra vs o3 Deep Research: Which Should You Choose?
Choosing between GPT-5.6 Terra and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.6 Terra is the more affordable option at $2.50/1M input tokens — 75% cheaper than o3 Deep Research. Meanwhile, GPT-5.6 Terra offers a significantly larger context window at 1,050,000 tokens vs 200,000 for o3 Deep Research.
These models target different tiers: GPT-5.6 Terra is a balanced model while o3 Deep Research is reasoning. This means they're optimized for different workloads. o3 Deep Research targets more demanding workloads, while GPT-5.6 Terra provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.6 Terra charges $15.00/1M 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-5.6 Terra has the edge here at $15.00/1M 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-5.6 Terra when:
- • Budget is a primary concern
- • You need a larger context window (1,050,000 tokens)
- • You need longer outputs (up to 128,000 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-5.6 Terra
- • Input pricing: $2.50/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 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-5.6 Terra
- • Higher output cost than GPT-5.6 Terra
- • Smaller context window than GPT-5.6 Terra
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.6 Terra (OpenAI)
o3 Deep Research (OpenAI)
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