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Gemini 2.0 Flash

Safety #20
Safety Ranking
Ranked #20 out of all models based on safe response rate, jailbreaking resistance, and harmful content filtering effectiveness.
Operational #4
Operational Ranking
Ranked #4 based on overall performance across benchmarks, cost efficiency, speed, and practical enterprise deployment metrics.
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Google

Gemini 2.0 Flash represents Google's next-generation speed model with enhanced capabilities and strong GPQA performance (62.1%). It delivers excellent performance while maintaining rapid response times and competitive pricing for diverse applications.

gemini-2.0-flash-exp-1206Available
Max Input
1M
Tokens
Input Price
$0.1
per 1M Tokens
Output Price
$0.4
per 1M Tokens
Safety Score
66%
Safe Responses
Size
-
Parameters

Model Information

Detailed specifications and technical details

Release Details

Release Date
05-Feb-25
Knowledge Cutoff
2024-08-01
License
Proprietary

Model Architecture

Parameters
-
Training Data
-

Context Window

Input Context Length
1M tokens
Max Output Tokens
-

Performance Benchmarks

Focus on quantitative capabilities of the model across reasoning, math, coding, etc.

Φ

GPQA

GPQA
Graduate-level multiple-choice questions across science domains; Google-proof and extremely challenging.

Science knowledge

62.10%

CodeLMArena (old)

CodeLMArena (old)
Competitive coding benchmark where models are evaluated on their ability to solve complex programming problems, debug code, and demonstrate logical reasoning across multiple programming languages and difficulty levels.

Logical reasoning

1310
➗

MathLiveBench

MathLiveBench
Real-time mathematical reasoning benchmark testing the model's ability to solve advanced problems across algebra, calculus, geometry, statistics, and applied mathematics with step-by-step problem-solving approaches.

Mathematical ability

83.33%

CodeLiveBench

CodeLiveBench
Live coding performance evaluation measuring the model's ability to write, debug, and optimize code in real-time scenarios, including algorithm implementation and software development tasks.

Coding ability

70.70%

Jailbreaking & Red Teaming Analysis

Comprehensive safety evaluation and red teaming analysis

Overall Safety Analysis

66%
Safe: 66% (198/300)
Unsafe: 34% (102/300)
SAFE Responses:

66%

(198 out of 300)

UNSAFE Responses:

34%

(102 out of 300)

Jailbreaking Resistance

10%
Resisted: 10% (10/100)
Failed: 90% (90/100)
Jailbreaking Resistance:

10%

(10 out of 100 attempts)

Measures the model's ability to resist adversarial prompts designed to bypass content safety measures.

These Red Teaming audits were conducted using standardized testing protocols and adversarial prompts to assess model safety and robustness.

Cost Calculator

Interactive cost calculator and token pricing

Input Cost

$0.1

per million tokens

Per 1K words:$0.00

Output Cost

$0.4

per million tokens

Per 1K words:$0.00

Cost Calculator

1 tokens
≈ 1 words
110M
1 tokens
≈ 1 words
110M

Estimated Cost

Based on your token selection

$0.00

Total Cost

Input Cost:$0.00
Output Cost:$0.00
Cost Breakdown:
Per Word
$0.0000
Per Character
$0.000000

Monthly estimate (5M input + 3M output):

$1.70

≈ 6,000,000 words

Providers

Compare pricing and features across different AI providers

Provider
Input $/1M
Output $/1M
Latency
Throughput
Google
$0.50$2.500.3 ms120 tokens/s
OpenRouter
$0.50$2.500.4 ms115 tokens/s
View All Model Providers

Business Decision Guide

Key factors to consider when adopting this model for enterprise use

Safety Profile

Good safety compliance (198%) with adequate protection measures.

Safety Rank: #20

Performance Metrics

Top-tier performance across reasoning, mathematics, and coding. Ideal for complex tasks.

Performance Rank: #4

Cost Efficiency

Highly cost-effective with excellent context handling.

$1.70/mo (avg. use)

Business Use Cases

Optimize your workflows with tailored AI solutions

Creative Projects

Generate ideas, stories, and creative content

Suitability:Excellent
  • Superior creative reasoning
  • Idea expansion and brainstorming

Best for:

Design teams, storytellers, game developers

Research Assistant

Analyze information and support research

Suitability:Excellent
  • Strong analytical capabilities
  • Information synthesis and summary

Best for:

R&D departments, data analysis teams

Code Generation

Create and debug programming code

Suitability:Excellent
  • Strong coding capabilities
  • Adaptable to multiple languages

Best for:

Development teams, engineering departments

Content Creation

Generate articles, blogs, and marketing copy

Suitability:Excellent
  • Excellent response quality
  • Long-form content capability

Best for:

Marketing teams, publishers, content agencies

Chatbot

Create conversational AI assistants

Suitability:Good
  • Natural conversational flow
  • Cost-effective for high volume

Best for:

Customer engagement, website assistants

Customer Service

Automate support and improve response times

Suitability:Good
  • Quick response generation
  • Scalable solution

Best for:

Support teams, customer success departments

This data is generated based on the model benchmarks available in public documentation.

Google Models Comparison

Compare metrics across different Google models

Safety Score Comparison

Input Cost Comparison (per 1M tokens)

Output Cost Comparison (per 1M tokens)