o3-deep-research
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
OpenAI๐ | 1M | 128K | 2026-04 | $10.00 | $1.00 | $50.00 | 98.5 | Slow | $0.2696 | |
Anthropic๐ | 1M | 128K | 2026-06 | $10.00 | $0.25 | $50.00 | 97.5 | Slow | $0.2627 | |
Anthropic | 1M | 128K | 2026-01 | $10.00 | $1.00 | $50.00 | 97.5 | Slow | $0.2696 | |
OpenAI๐ | 1M | 128K | 2025-12 | $5.00 | $0.50 | $30.00 | 93.25 | Standard | $0.1439 | |
OpenAI | 128K | 4K | 2023-12 | $10.00 | - | $30.00 | 63.75 | Standard | $0.29 |
Provider
Benchmark
98.5Speed
Slow
Training Cutoff
2026-04
Context Window
1M
Max Output
128K
Input / 1M
$10.00
Cache Price / 1M
$1.00
Output / 1M
$50.00
Provider
Benchmark
97.5Speed
Slow
Training Cutoff
2026-06
Context Window
1M
Max Output
128K
Input / 1M
$10.00
Cache Price / 1M
$0.25
Output / 1M
$50.00
Provider
Benchmark
97.5Speed
Slow
Training Cutoff
2026-01
Context Window
1M
Max Output
128K
Input / 1M
$10.00
Cache Price / 1M
$1.00
Output / 1M
$50.00
Provider
Benchmark
93.25Speed
Standard
Training Cutoff
2025-12
Context Window
1M
Max Output
128K
Input / 1M
$5.00
Cache Price / 1M
$0.50
Output / 1M
$30.00
Provider
Benchmark
63.75Speed
Standard
Training Cutoff
2023-12
Context Window
128K
Max Output
4K
Input / 1M
$10.00
Cache Price / 1M
-
Output / 1M
$30.00
All AI Models Pricing & Cost Simulator
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o3-deep-research Frequently Asked Questions (FAQ)
Key insights into o3-deep-research API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for o3-deep-research? How much does it cost per 1M tokens?๏ผ
o3-deep-research (OpenAI) is priced at $10.0000 per 1 million input tokens and $40.0000 per 1 million output tokens. The output rate is approximately 4.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of o3-deep-research?๏ผ
o3-deep-research features a 200K context window and a maximum output limit of 100K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.
Q. Does o3-deep-research support Prompt Caching, and how much cost can be saved?๏ผ
Yes, o3-deep-research supports prompt caching. Cached reads cost $2.5000 per 1M tokens, delivering an estimated 75% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (77.5) and performance profile of o3-deep-research?๏ผ
o3-deep-research achieves an overall benchmark score of 77.5/100 with a "Very Slow" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.
Q. Which alternative models are comparable to o3-deep-research?๏ผ
Key alternatives in similar price-to-performance tiers include GPT-6 Astra, Claude Fable 5.1, Claude Fable 5. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.