Model Comparison

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

Google

Gemini 2.5 Flash

Google

Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 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.

OpenAI

GPT-4.1

OpenAI

2025-04-14

Google

Gemini 2.5 Flash

Google

2025-05-20

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash

$7.20 cheaper
Input:$0.30
Output:$2.50
OpenAI

GPT-4.1

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-4.1

Max Context:1.1M

Average performance across 8 common benchmarks

Google

Gemini 2.5 Flash

+14.0%
Average Score:64.1%
OpenAI

GPT-4.1

Average Score:50.0%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

code
64.7%
vision
+6.3%
79.7%
general
+4.6%
58.0%
OpenAI

GPT-4.1

code
+22.8%
87.4%
vision
73.4%
general
53.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1

2024-06-01

Gemini 2.5 Flash

2025-01-31

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

2 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Google

Gemini 2.5 Flash

+14.0%
Avg Score:64.1%
Providers:2
OpenAI

GPT-4.1

Avg Score:50.0%
Providers:1