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

o3

OpenAI

o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. 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.

Google

Gemini 2.0 Flash

Google

2024-12-01

OpenAI

o3

OpenAI

2025-04-16

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

$9.50 cheaper
Input:$0.10
Output:$0.40
OpenAI

o3

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash

Larger context
Max Context:1.1M
OpenAI

o3

Max Context:300.0K

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash

Average Score:66.4%
OpenAI

o3

+16.7%
Average Score:83.1%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash

vision
70.7%
math
+25.1%
76.4%
general
62.6%
OpenAI

o3

vision
+6.0%
76.7%
math
51.3%
general
+4.9%
67.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3

2024-05-31

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

o3

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemini 2.0 Flash

Avg Score:66.4%
Providers:1
OpenAI

o3

+16.7%
Avg Score:83.1%
Providers:1