Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 5.1% higher average benchmark score. Llama 4 Maverick offers 2.0M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
DeepSeek-V2.5
Llama 4 Maverick
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-V2.5
Llama 4 Maverick
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Llama 4 Maverick
DeepSeek-V2.5
Llama 4 Maverick
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together