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DeepSeek-V3.2 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 868.1K more tokens in context window than DeepSeek-V3.2. Llama 4 Maverick is $1.01 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-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks 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.
8 months newer
Llama 4 Maverick
Meta AI
2025-04-05
DeepSeek-V3.2
DeepSeek
2025-12-01
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10
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Llama 4 Maverick
Input:$0.18
Output:$0.18($1.01 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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Llama 4 Maverick
1 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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Llama 4 Maverick
Avg Score:0.0%
Providers:1