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

o3-pro

OpenAI

o3-pro is a multimodal language model developed by OpenAI. It supports a 300K 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 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

o3-pro

OpenAI

2025-06-10

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

7 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$99.50 cheaper
Input:$0.10
Output:$0.40
OpenAI

o3-pro

Input:$20.00
Output:$80.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

o3-pro

Max Context:300.0K
Knowledge Cutoff
Training data recency comparison

o3-pro

2024-05-31

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

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms
Google

Gemini 2.5 Flash-Lite

Avg Score:0.0%
Providers:1
OpenAI

o3-pro

Avg Score:0.0%
Providers:1