Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

xAI

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-1.5

xAI

2024-03-28

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

9 months newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

+30.0%
Average Score:74.8%
xAI

Grok-1.5

Average Score:44.8%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

vision
+5.8%
75.4%
general
+17.7%
73.8%
xAI

Grok-1.5

vision
69.6%
general
56.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

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 Thinking

0 providers
xAI

Grok-1.5

0 providers
Google

Gemini 2.0 Flash Thinking

+30.0%
Avg Score:74.8%
Providers:0
xAI

Grok-1.5

Avg Score:44.8%
Providers:0