Model Comparison

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

DeepSeek

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.

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

6 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Larger context
Max Context:256.0K
Parameters:70.6B
Google

Gemma 2 9B

Max Context:-
Parameters:9.2B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+41.9%
94.5%
general
+9.6%
76.0%
code
+9.0%
57.5%
Google

Gemma 2 9B

math
52.6%
general
66.4%
code
48.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
Google

Gemma 2 9B

0 providers
DeepSeek

DeepSeek R1 Distill Llama 70B

Avg Score:0.0%
Providers:1
Google

Gemma 2 9B

Avg Score:0.0%
Providers:0