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 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

DeepSeek-V2.5
DeepSeek
2024-05-08

Llama 4 Scout
Meta
2025-04-05
11 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Llama 4 Scout
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Llama 4 Scout
Average performance across 2 common benchmarks

DeepSeek-V2.5

Llama 4 Scout
Performance comparison across key benchmark categories

DeepSeek-V2.5

Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

DeepSeek-V2.5

Llama 4 Scout