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.

Amazon

Nova Pro

Amazon

Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K 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 Amazon's latest advancement in AI technology.

Amazon

Nova Pro

Amazon

2024-11-20

Google

Gemma 3 1B

Google

2025-03-12

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 1B

Max Context:-
Parameters:1.0B
Amazon

Nova Pro

Larger context
Max Context:600.0K

Average performance across 5 common benchmarks

Google

Gemma 3 1B

Average Score:50.3%
Amazon

Nova Pro

+29.5%
Average Score:79.9%

Performance comparison across key benchmark categories

Google

Gemma 3 1B

code
43.0%
math
42.2%
general
17.8%
Amazon

Nova Pro

code
+47.6%
90.5%
math
+43.5%
85.7%
general
+49.6%
67.4%
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
Amazon

Nova Pro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3 1B

Avg Score:50.3%
Providers:0
Amazon

Nova Pro

+29.5%
Avg Score:79.9%
Providers:1