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-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$1.50 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4.1 mini

Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

GPT-4.1 mini

Max Context:1.1M

Average performance across 6 common benchmarks

Google

Gemini 2.5 Flash-Lite

+1.8%
Average Score:41.8%
OpenAI

GPT-4.1 mini

Average Score:40.0%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

code
42.5%
vision
+0.2%
72.9%
general
35.8%
OpenAI

GPT-4.1 mini

code
+41.6%
84.1%
vision
72.7%
general
+10.1%
45.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

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

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Google

Gemini 2.5 Flash-Lite

+1.8%
Avg Score:41.8%
Providers:1
OpenAI

GPT-4.1 mini

Avg Score:40.0%
Providers:2