Model Comparison

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

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 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.

DeepSeek-R1

DeepSeek

2025-01-20

Gemini Diffusion

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-R1

Larger context

Max Context:262.1K

Parameters:671.0B

Gemini Diffusion

Max Context:-

Average performance across 3 common benchmarks

DeepSeek-R1

+30.8%

Average Score:62.2%

Gemini Diffusion

Average Score:31.4%

Performance comparison across key benchmark categories

DeepSeek-R1

code

+21.7%

82.1%

general

+37.4%

75.3%

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

4 providers

Together

Throughput: 4 tok/s

Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s

Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s

Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

Gemini Diffusion

0 providers

DeepSeek-R1

+30.8%

Avg Score:62.2%

Providers:4

Gemini Diffusion

Avg Score:31.4%

Providers:0