Model Comparison

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

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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-V2.5

DeepSeek

2024-05-08

Gemini Diffusion

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek-V2.5

Larger context

Max Context:16.4K

Parameters:236.0B

Gemini Diffusion

Max Context:-

Average performance across 2 common benchmarks

DeepSeek-V2.5

Average Score:52.9%

Gemini Diffusion

+3.3%

Average Score:56.3%

Performance comparison across key benchmark categories

DeepSeek-V2.5

general

+30.5%

68.4%

code

+5.6%

66.1%

Gemini Diffusion

general

37.9%

code

60.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s

Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

0 providers

DeepSeek-V2.5

Avg Score:52.9%

Providers:3

Gemini Diffusion

+3.3%

Avg Score:56.3%

Providers:0