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LLM Index

DeepSeek vs. Llama

A side-by-side comparison of release history, capabilities, licensing and model sizes.

Attribute DeepSeek Llama
Developer DeepSeek Meta
Current generation DeepSeek V4 Llama 4
Initial release 2023-11-29 2023-02-24
Instruct tuned Yes Yes
Coding Yes Yes
Finetuning Yes Yes
Open source Yes Yes
License MIT Llama Community License
Model sizes 284B (13B active), 1.6T (49B active) 109B (17B active), 400B (17B active)
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DeepSeek

DeepSeek develops open-weight mixture-of-experts models for reasoning, coding, agents, and efficient long-context inference. DeepSeek V4 is the current generation.

DeepSeek began releasing language models in 2023 with DeepSeek Coder, then gained broad adoption with DeepSeek V3 and the R1 reasoning model in 2024 and 2025. DeepSeek V4, released in April 2026, includes a 284B-parameter Flash model with 13B active parameters and a 1.6T-parameter Pro model with 49B active parameters. Both support one-million-token context windows and are released with open weights under the MIT license.

Further reading

Llama

Llama is Meta's open-weight model family. Llama 4 was its last major generation; Meta's active assistant-model development has shifted to Muse.

Meta introduced LLaMA in February 2023, helping catalyze the modern open-weight model ecosystem. Llama 2 added commercial use and chat tuning, while the Llama 3 series improved scale, multilingual support, and instruction following. Llama 4, released in April 2025, introduced native multimodality and a mixture-of-experts architecture. Meta subsequently shifted its actively promoted assistant-model line to the proprietary Muse family, but Llama models remain widely used and deployed.

Further reading

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