Compare deep-research-pro-preview-12-2025 with other models

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Models

deep-research-pro-preview-12-2025

gemini

Context Length

1049K

Max Output

66K

Input Cost

$2.00/M

Output Cost

$12.00/M

Mode

Chat

Max Input Tokens

1049K

Supported Endpoints

/v1/chat/completions, /v1/completions, /v1/batch

Provider

Google Gemini

Response Schema

Yes

Prompt Caching

Yes

System Messages

Yes

Deprecation Date

2026-10-23

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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about deep-research-pro-preview-12-2025?

Overview

deep-research-pro-preview-12-2025 is a chat model provided by Google Gemini.
This model offers an exceptional context window of 1049K tokens, making it ideal for processing extensive documents, long conversations, or large codebases.

Pricing

Input processing costs $2.00 per million tokens.
Output generation costs $12.00 per million tokens.
Image input processing is priced at $0.0011 per image.

Output Capabilities

The model can generate up to 66K tokens in a single response.

Availability

Available through the following endpoints: /v1/chat/completions, /v1/completions, /v1/batch.
Please note: This model is scheduled for deprecation on 2026-10-23.

What capabilities does deep-research-pro-preview-12-2025 support?

Includes vision capabilities to process and analyze images alongside text inputs.
Provides web search integration for accessing real-time information and current data.
Supports structured response schemas for consistent, predictable output formatting.
Implements prompt caching to reduce costs and latency for repeated or similar queries.
Supports system messages for customizing model behavior and setting operational parameters.

deep-research-pro-preview-12-2025 Pricing Overview

At $2.00 per 1M input tokens and $12.00 per 1M output tokens, deep-research-pro-preview-12-2025 ranks 3063 out of 4042 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 20% of models in this category.