Try Bifrost Enterprise free for 14 days.
Request access
[ MODEL COMPARISON ]

Compare gemini-2.0-flash-thinking-exp-01-21 with other models

Select another model to compare pricing, limits, and capabilities with gemini-2.0-flash-thinking-exp-01-21.

Google Gemini logo
VS
Models
Google Gemini logogemini-2.0-flash-thinking-exp-01-21
gemini
—
—
Context Length
1049K
—
Max Output
66K
—
Mode
Chat
—
Max Input Tokens
1049K
—
Max Tokens
66K
—
Provider
Google Gemini
—
Tool Choice
Yes
—
Response Schema
Yes
—
Prompt Caching
Yes
—
System Messages
Yes
—
Deprecation Date
2025-12-02
—
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

or, Get started here

Comparison Insights

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

What should I know about gemini-2.0-flash-thinking-exp-01-21?

Overview

  • gemini-2.0-flash-thinking-exp-01-21 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 $0.00 per million tokens.
  • Output generation costs $0.00 per million tokens.
  • Image input processing is priced at $0.0000 per image.

Output Capabilities

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

Availability

  • Please note: This model is scheduled for deprecation on 2025-12-02.
What capabilities does gemini-2.0-flash-thinking-exp-01-21 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.
  • Generates audio output for text-to-speech and voice response applications.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • 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.
Compare gemini-2.0-flash-thinking-exp-01-21 with other models