Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 1.5 Pro

Google

2024-05-01

OpenAI

o3

OpenAI

2025-04-16

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00
OpenAI

o3

$2.50 cheaper
Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
OpenAI

o3

Max Context:300.0K

Average performance across 3 common benchmarks

Google

Gemini 1.5 Pro

Average Score:64.4%
OpenAI

o3

+20.0%
Average Score:84.3%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

reasoning
+46.1%
93.3%
vision
72.3%
math
+23.6%
74.9%
general
+1.5%
68.9%
OpenAI

o3

reasoning
47.3%
vision
+4.4%
76.7%
math
51.3%
general
67.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

o3

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

o3

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemini 1.5 Pro

Avg Score:64.4%
Providers:1
OpenAI

o3

+20.0%
Avg Score:84.3%
Providers:1