Model Comparison

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

DeepSeek R1 Distill Llama 70B

DeepSeek

DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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 Distill Llama 70B

DeepSeek

2025-01-20

Gemini Diffusion

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Llama 70B

Larger context

Max Context:256.0K

Parameters:70.6B

Gemini Diffusion

Max Context:-

Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 70B

+25.7%

Average Score:61.3%

Gemini Diffusion

Average Score:35.7%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

general

+38.0%

76.0%

code

57.5%

Gemini Diffusion

general

37.9%

code

+3.0%

60.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s

Latency: 0.65ms

Gemini Diffusion

0 providers

DeepSeek R1 Distill Llama 70B

+25.7%

Avg Score:61.3%

Providers:1

Gemini Diffusion

Avg Score:35.7%

Providers:0