Try Bifrost Enterprise free for 14 days.
Request access[ MODEL COMPARISON ]
Compare o3-deep-research with other models
Select another model to compare pricing, limits, and capabilities with o3-deep-research.
VS
Models
o3-deep-researchopenai
-
-
Context Length
200K
-
Max Output
100K
-
Input Cost
$10.00/M
-
Output Cost
$40.00/M
-
Mode
Responses
-
Max Input Tokens
200K
-
Supported Endpoints
/v1/batch, /v1/responses
-
Provider
OpenAI
-
Tool Choice
No
-
Response Schema
No
-
Parallel Function Calling
No
-
Prompt Caching
Yes
-
Deprecation Date
2026-07-23
-
Scale with the Fastest LLM Gateway
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Comparison Insights
Comprehensive analysis based on the latest model metadata from the comparison table above.
What should I know about o3-deep-research?
Overview
- o3-deep-research is a responses model provided by OpenAI.
- With a context window of 200K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.
Pricing
- Input processing costs $10.00 per million tokens.
- Output generation costs $40.00 per million tokens.
Output Capabilities
- The model can generate up to 100K tokens in a single response.
Availability
- Available through the following endpoints: /v1/batch, /v1/responses.
- Please note: This model is scheduled for deprecation on 2026-07-23.
What capabilities does o3-deep-research support?
- Includes vision capabilities to process and analyze images alongside text inputs.
- Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
- Implements prompt caching to reduce costs and latency for repeated or similar queries.
o3-deep-research Pricing Overview
At $10.00 per 1M input tokens and $40.00 per 1M output tokens, o3-deep-research ranks 134 out of 171 responses models by input cost. It is more expensive compared to the median of $2.00 for responses models, and is cheaper than 19% of models in this category.