Model Comparison

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

Google

Gemma 3 1B

Google

Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

xAI

Grok-2

xAI

Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-2

xAI

2024-08-13

Google

Gemma 3 1B

Google

2025-03-12

7 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 1B

Max Context:-
Parameters:1.0B
xAI

Grok-2

Larger context
Max Context:136.0K

Average performance across 4 common benchmarks

Google

Gemma 3 1B

Average Score:30.9%
xAI

Grok-2

+43.1%
Average Score:74.0%

Performance comparison across key benchmark categories

Google

Gemma 3 1B

code
43.0%
general
17.8%
math
42.2%
xAI

Grok-2

code
+45.4%
88.4%
general
+55.2%
73.0%
math
+30.4%
72.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 1B

0 providers
xAI

Grok-2

1 providers

xAI

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemma 3 1B

Avg Score:30.9%
Providers:0
xAI

Grok-2

+43.1%
Avg Score:74.0%
Providers:1