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LLM Index

DeepSeek vs. Gemma

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

Attribute DeepSeek Gemma
Developer DeepSeek Google
Current generation DeepSeek V4 Gemma 4
Initial release 2023-11-29 2024-02-21
Instruct tuned Yes Yes
Coding Yes Yes
Finetuning Yes Yes
Open source Yes Yes
License MIT Apache 2.0
Model sizes 284B (13B active), 1.6T (49B active) E2B, E4B, 12B, 26B (3.8B active), 31B
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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

Gemma

Gemma is Google's family of efficient open models for local, edge, and self-hosted deployment. Gemma 4 is the current generation, spanning mobile-scale through workstation-scale models.

Google introduced Gemma in February 2024 as a family of lightweight open models built from the same research used for Gemini. Gemma 2 improved efficiency and model quality, while Gemma 3 added multimodal input and longer context. Gemma 4, released in April 2026 under Apache 2.0, adds advanced reasoning, agentic tool use, code generation, image and video understanding, and models ranging from edge-focused E2B and E4B variants to 12B, 26B mixture-of-experts, and 31B dense checkpoints.

Further reading

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