Model Comparison

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

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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-R1-0528

DeepSeek

2025-05-28

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-R1-0528

Larger context

Max Context:262.1K

Parameters:671.0B

Gemma 3 1B

Max Context:-

Parameters:1.0B

Average performance across 4 common benchmarks

DeepSeek-R1-0528

+57.3%

Average Score:66.8%

Gemma 3 1B

Average Score:9.5%

Performance comparison across key benchmark categories

DeepSeek-R1-0528

code

+30.3%

73.3%

general

+51.4%

69.2%

Gemma 3 1B

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-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s

Latency: 0.61ms

Novita

Throughput: 37.96 tok/s

Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

Gemma 3 1B

0 providers

DeepSeek-R1-0528

+57.3%

Avg Score:66.8%

Providers:3

Gemma 3 1B

Avg Score:9.5%

Providers:0