Model Comparison

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

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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

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 2.5 Flash-Lite

Google

2025-06-17

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$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 2.5 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

GPT-4o

Max Context:132.1K

Average performance across 1 common benchmarks

Google

Gemini 2.5 Flash-Lite

+11.0%
Average Score:64.6%
OpenAI

GPT-4o

Average Score:53.6%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

code
42.5%
general
35.8%
OpenAI

GPT-4o

code
+47.7%
90.2%
general
+38.8%
74.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash-Lite

2025-01-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
OpenAI

GPT-4o

2 providers

Azure

Throughput: 92 tok/s
Latency: 0.54ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Flash-Lite

+11.0%
Avg Score:64.6%
Providers:1
OpenAI

GPT-4o

Avg Score:53.6%
Providers:2