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-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). 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 OpenAI's latest advancement in AI technology.

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

OpenAI

GPT-4.1

OpenAI

2025-04-14

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$9.63 cheaper
Input:$0.07
Output:$0.30
OpenAI

GPT-4.1

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Max Context:1.1M
OpenAI

GPT-4.1

Larger context
Max Context:1.1M

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash-Lite

Average Score:59.8%
OpenAI

GPT-4.1

+10.8%
Average Score:70.5%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

code
28.9%
vision
68.0%
math
71.0%
general
+2.1%
55.5%
OpenAI

GPT-4.1

code
+58.5%
87.4%
vision
+5.4%
73.4%
math
+1.2%
72.2%
general
53.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

GPT-4.1

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-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Google

Gemini 2.0 Flash-Lite

Avg Score:59.8%
Providers:1
OpenAI

GPT-4.1

+10.8%
Avg Score:70.5%
Providers:1