Model Comparison

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

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 1 common benchmarks

DeepSeek-V3 0324

+35.6%

Average Score:68.4%

Llama 3.2 3B Instruct

Average Score:32.8%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+32.7%

94.0%

code

49.2%

general

+27.2%

69.7%

Llama 3.2 3B Instruct

math

61.3%

code

+28.2%

77.4%

general

42.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3 0324

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

DeepSeek-V3 0324

+35.6%

Avg Score:68.4%

Providers:0

Llama 3.2 3B Instruct

Avg Score:32.8%

Providers:1