Gemini 2.0 Flash vs GPT-4 Turbo Comparison

Comparing Gemini 2.0 Flash and GPT-4 Turbo across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 Turbo is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 100.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 75.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Gemini 2.0 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 2.0 Flash can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas GPT-4 Turbo does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

GPT-4 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-4 Turbo was released on 2024-04-09.

Gemini 2.0 Flash is 8 months newer than GPT-4 Turbo.

Gemini 2.0 Flash

Dec 1, 2024

1.3 years ago

7mo newer
GPT-4 Turbo

Apr 9, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-4 Turbo has a cutoff of 2023-12-31.

Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).

Gemini 2.0 Flash

Aug 2024

8 mo newer
GPT-4 Turbo

Dec 2023

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-4 Turbo is available from Azure, OpenAI. The availability of providers can affect quality of the model and reliability.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (62.1% vs 48.0%)
Higher MATH score (89.7% vs 72.6%)
GoogleGemini 2.0 Flash
OpenAIGPT-4 Turbo

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
GPT-4 Turbo