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-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemini 1.5 Pro

Google

2024-05-01

OpenAI

o3-mini

OpenAI

2025-01-30

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00
OpenAI

o3-mini

$7.00 cheaper
Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
OpenAI

o3-mini

Max Context:300.0K

Average performance across 4 common benchmarks

Google

Gemini 1.5 Pro

Average Score:79.8%
OpenAI

o3-mini

+8.8%
Average Score:88.5%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

code
74.5%
math
+8.5%
74.9%
general
+13.7%
68.9%
OpenAI

o3-mini

code
+19.4%
93.9%
math
66.4%
general
55.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

Gemini 1.5 Pro

2023-11-01

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-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Google

Gemini 1.5 Pro

Avg Score:79.8%
Providers:1
OpenAI

o3-mini

+8.8%
Avg Score:88.5%
Providers:2