Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Maverick offers 1.8M more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
5 months newer
Llama 4 Maverick
Meta
2025-04-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Llama 4 Maverick
Context window and performance specifications
Average performance across 24 common benchmarks
DeepSeek-V3.2-Exp
Llama 4 Maverick
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Llama 4 Maverick
DeepSeek-V3.2-Exp
Llama 4 Maverick
DeepSeek-V3.2-Exp
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together