Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 42.4% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
2 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Llama 4 Maverick
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
DeepInfra
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Groq
Lambda
Novita
Sambanova
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