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.

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Gemini Diffusion

Google

2025-05-20

DeepSeek-R1-0528

DeepSeek

2025-05-28

8 days newer

Performance Metrics

Context window and performance specifications

DeepSeek-R1-0528

Larger context

Max Context:262.1K

Parameters:671.0B

Gemini Diffusion

Max Context:-

Average performance across 4 common benchmarks

DeepSeek-R1-0528

+45.5%

Average Score:74.9%

Gemini Diffusion

Average Score:29.4%

Performance comparison across key benchmark categories

DeepSeek-R1-0528

code

+12.8%

73.3%

general

+31.3%

69.2%

Gemini Diffusion

code

60.5%

general

37.9%

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

Gemini Diffusion

0 providers

DeepSeek-R1-0528

+45.5%

Avg Score:74.9%

Providers:3

Gemini Diffusion

Avg Score:29.4%

Providers:0