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DeepSeek-R1 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 868.1K more tokens in context window than DeepSeek-R1. Llama 4 Maverick is $2.38 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
2 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Llama 4 Maverick
Meta AI
2025-04-05
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Llama 4 Maverick
Input:$0.18
Output:$0.18($2.38 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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Llama 4 Maverick
1 providers
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DeepSeek-R1
Avg Score:0.0%
Providers:1
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Llama 4 Maverick
Avg Score:0.0%
Providers:1