Model Comparison

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

Google

Gemini 2.0 Flash

Google

Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

OpenAI

GPT-4

OpenAI

2023-06-13

Google

Gemini 2.0 Flash

Google

2024-12-01

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

$89.50 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4

Input:$30.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-4

Max Context:65.5K

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash

+37.1%
Average Score:75.9%
OpenAI

GPT-4

Average Score:38.8%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash

math
+7.9%
76.4%
general
62.6%
code
61.4%
OpenAI

GPT-4

math
68.5%
general
+13.6%
76.2%
code
+5.6%
67.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

Gemini 2.0 Flash

2024-08-01

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

1 providers

Google

Throughput: 183 tok/s
Latency: 0.4ms
OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini 2.0 Flash

+37.1%
Avg Score:75.9%
Providers:1
OpenAI

GPT-4

Avg Score:38.8%
Providers:2