Model Comparison

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

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, 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-Lite

Google

2025-02-05

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$0.38 cheaper
Input:$0.07
Output:$0.30
OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

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-Lite

+12.2%
Average Score:68.8%
OpenAI

GPT-4o mini

Average Score:56.6%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

code
28.9%
math
71.0%
vision
+8.6%
68.0%
general
+2.8%
55.5%
OpenAI

GPT-4o mini

code
+58.3%
87.2%
math
+0.3%
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-Lite

2024-06-01

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-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
Google

Gemini 2.0 Flash-Lite

+12.2%
Avg Score:68.8%
Providers:1
OpenAI

GPT-4o mini

Avg Score:56.6%
Providers:1