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.

Llama 3.2 90B Instruct
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

DeepSeek-V2.5
DeepSeek
2024-05-08

Llama 3.2 90B Instruct
Meta
2024-09-25
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Llama 3.2 90B Instruct
Average performance across 2 common benchmarks

DeepSeek-V2.5

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories

DeepSeek-V2.5

Llama 3.2 90B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

DeepSeek-V2.5

Llama 3.2 90B Instruct