Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.0 Flash

Google

Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4o

OpenAI

2024-05-13

Google

Gemini 2.0 Flash

Google

2024-12-01

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

$12.00 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4o

Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-4o

Max Context:132.1K

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash

+8.5%
Average Score:76.1%
OpenAI

GPT-4o

Average Score:67.6%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash

code
61.4%
math
76.4%
general
62.6%
OpenAI

GPT-4o

code
+28.8%
90.2%
math
+0.6%
77.0%
general
+12.0%
74.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash

1 providers

Google

Throughput: 183 tok/s
Latency: 0.4ms
OpenAI

GPT-4o

2 providers

Azure

Throughput: 92 tok/s
Latency: 0.54ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini 2.0 Flash

+8.5%
Avg Score:76.1%
Providers:1
OpenAI

GPT-4o

Avg Score:67.6%
Providers:2