Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

xAI

Grok-4

xAI

Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

xAI

Grok-4

xAI

2025-07-09

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 27B

Max Context:-
Parameters:27.2B
xAI

Grok-4

Larger context
Max Context:264.0K

Performance comparison across key benchmark categories

Google

Gemma 2 27B

reasoning
+66.6%
82.5%
code
56.5%
general
+0.7%
70.0%
xAI

Grok-4

reasoning
15.9%
code
+22.5%
79.0%
general
69.3%
Knowledge Cutoff
Training data recency comparison

Grok-4

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
xAI

Grok-4

2 providers

xAI

Throughput: 100 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
xAI

Grok-4

Avg Score:0.0%
Providers:2