Model Comparison

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

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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.

Gemini 1.0 Pro

Google

2024-02-15

o4-mini

OpenAI

2025-04-16

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

o4-mini

Max Context:-

Average performance across 3 common benchmarks

Gemini 1.0 Pro

Average Score:40.8%

o4-mini

+41.6%

Average Score:82.4%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

vision

47.9%

general

51.4%

o4-mini

math

+44.7%

84.3%

vision

+33.7%

81.6%

general

+13.0%

64.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

o4-mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

o4-mini

0 providers

Gemini 1.0 Pro

Avg Score:40.8%

Providers:1

o4-mini

+41.6%

Avg Score:82.4%

Providers:0