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.

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-V3

DeepSeek

2024-12-25

Gemini Diffusion

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Gemini Diffusion

Max Context:-

Average performance across 3 common benchmarks

DeepSeek-V3

+14.8%

Average Score:46.2%

Gemini Diffusion

Average Score:31.4%

Performance comparison across key benchmark categories

DeepSeek-V3

code

+12.7%

73.2%

general

+27.2%

65.1%

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-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

0 providers

DeepSeek-V3

+14.8%

Avg Score:46.2%

Providers:1

Gemini Diffusion

Avg Score:31.4%

Providers:0