Model Comparison

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

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.

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.

Gemma 3 1B

Google

2025-03-12

Grok-4

xAI

2025-07-09

3 months newer

Performance Metrics

Context window and performance specifications

Gemma 3 1B

Max Context:-

Parameters:1.0B

Grok-4

Larger context

Max Context:264.0K

Average performance across 2 common benchmarks

Gemma 3 1B

Average Score:10.5%

Grok-4

+72.7%

Average Score:83.3%

Performance comparison across key benchmark categories

Gemma 3 1B

code

43.0%

general

17.8%

Grok-4

code

+36.0%

79.0%

general

+51.5%

69.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

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

Gemma 3 1B

0 providers

Grok-4

2 providers

xAI

Throughput: 100 tok/s

Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Gemma 3 1B

Avg Score:10.5%

Providers:0

Grok-4

+72.7%

Avg Score:83.3%

Providers:2