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.

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

Gemma 3n E4B Instructed

Google

2025-06-26

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

$59.50 cheaper

Input:$0.10

Output:$0.40

Gemma 3n E4B Instructed

Input:$20.00

Output:$40.00

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Llama 70B

Larger context

Max Context:256.0K

Parameters:70.6B

Gemma 3n E4B Instructed

Max Context:64.0K

Parameters:8.0B

Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 70B

+42.9%

Average Score:61.3%

Gemma 3n E4B Instructed

Average Score:18.4%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

math

+42.1%

94.5%

general

+34.4%

76.0%

code

+18.6%

57.5%

Gemma 3n E4B Instructed

math

52.4%

general

41.6%

code

38.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E4B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s

Latency: 0.65ms

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s

Latency: 0.43ms

DeepSeek R1 Distill Llama 70B

+42.9%

Avg Score:61.3%

Providers:1

Gemma 3n E4B Instructed

Avg Score:18.4%

Providers:1