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Models
o3-deep-researchazure
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Context Length
200K
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Max Output
100K
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Input Cost
$10.00/M
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Output Cost
$40.00/M
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Mode
Responses
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Max Input Tokens
200K
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Max Tokens
100K
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Supported Endpoints
/v1/chat/completions, /v1/batch, /v1/responses
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Provider
Azure
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Tool Choice
Yes
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Response Schema
Yes
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Parallel Function Calling
Yes
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Prompt Caching
Yes
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System Messages
Yes
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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 Azure.
- 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/chat/completions, /v1/batch, /v1/responses.
What capabilities does o3-deep-research support?
- Supports function calling, enabling integration with external tools and APIs for extended functionality.
- Includes vision capabilities to process and analyze images alongside text inputs.
- Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
- Provides web search integration for accessing real-time information and current data.
- Allows explicit tool selection, giving developers fine-grained control over function execution.
- Supports structured response schemas for consistent, predictable output formatting.
- Enables parallel function calling to execute multiple operations simultaneously for improved efficiency.
- Implements prompt caching to reduce costs and latency for repeated or similar queries.
- Supports system messages for customizing model behavior and setting operational parameters.
o3-deep-research Pricing Overview
At $10.00 per 1M input tokens and $40.00 per 1M output tokens, o3-deep-research ranks 28 out of 51 responses models by input cost. It is more expensive compared to the median of $5.00 for responses models, and is cheaper than 41% of models in this category.