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 mini

OpenAI

GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.

OpenAI

GPT-4o mini

OpenAI

2024-07-18

Google

Gemini 2.0 Flash

Google

2024-12-01

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

$0.25 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-4o mini

Max Context:144.4K

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash

+17.6%
Average Score:74.2%
OpenAI

GPT-4o mini

Average Score:56.6%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash

code
61.4%
math
+5.1%
76.4%
vision
+11.3%
70.7%
general
+9.9%
62.6%
OpenAI

GPT-4o mini

code
+25.8%
87.2%
math
71.3%
vision
59.4%
general
52.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

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 mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
Google

Gemini 2.0 Flash

+17.6%
Avg Score:74.2%
Providers:1
OpenAI

GPT-4o mini

Avg Score:56.6%
Providers:1