Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.

DeepSeek-V3

DeepSeek

2024-12-25

Gemma 3 1B

Google

2025-03-12

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Gemma 3 1B

Max Context:-

Parameters:1.0B

Average performance across 5 common benchmarks

DeepSeek-V3

+33.1%

Average Score:56.7%

Gemma 3 1B

Average Score:23.6%

Performance comparison across key benchmark categories

DeepSeek-V3

math

+48.0%

90.2%

code

+30.2%

73.2%

general

+47.3%

65.1%

Gemma 3 1B

math

42.2%

code

43.0%

general

17.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

Gemma 3 1B

0 providers

DeepSeek-V3

+33.1%

Avg Score:56.7%

Providers:1

Gemma 3 1B

Avg Score:23.6%

Providers:0