o3 Deep Research
Activeo3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Overview
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
History
o3 Deep Research became available via the OpenAI API on 2025-10-10.
Training & availability
OpenAI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 200K tokens.
-
Max output: 100K tokens.
-
Input modalities: image, text, file.
Recommended for: vision, agentic, long-context.
Limitations
- At $40.00/1M output tokens, this is in the premium tier — verify cost-per-value for high-volume workloads.
Pricing
- Input: $10.0000 per 1M tokens
- Output: $40.0000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the openai API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
model="o3-deep-research",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Not supported
Price vs quality
Priced like a frontier model. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $32.5/1M
- Pricing breakdown
- $10/1M in
$40/1M out
Community ratings
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Comments
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