Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Gemma 3 1B

Google

2025-03-12

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

6 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

Gemma 3 1B

Max Context:-

Parameters:1.0B

Average performance across 28 common benchmarks

DeepSeek-V3.2-Exp

+13.8%

Average Score:33.1%

Gemma 3 1B

Average Score:19.2%

Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

factuality

+77.8%

97.1%

math

+44.3%

86.5%

code

+21.3%

64.3%

general

+42.3%

62.1%

Gemma 3 1B

factuality

19.3%

math

42.2%

code

43.0%

general

19.8%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Gemma 3 1B

0 providers

DeepSeek-V3.2-Exp

+13.8%

Avg Score:33.1%

Providers:2

Gemma 3 1B

Avg Score:19.2%

Providers:0