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LLM Index

Gemma vs. Nemotron

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

Attribute Gemma Nemotron
Developer Google NVIDIA
Current generation Gemma 4 Nemotron 3 Ultra
Initial release 2024-02-21 2025-12-15
Instruct tuned Yes Yes
Coding Yes Yes
Finetuning Yes Yes
Open source Yes Yes
License Apache 2.0 OpenMDW-1.1
Model sizes E2B, E4B, 12B, 26B (3.8B active), 31B 550B (55B active)
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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

Nemotron

Nemotron is NVIDIA's open model family for efficient reasoning, coding, long-context analysis, and agent orchestration. Nemotron 3 Ultra is the current flagship.

NVIDIA introduced the Nemotron 3 family in December 2025 with Nano, Super, and Ultra tiers. Nemotron 3 Ultra, released in June 2026, is a 550B-parameter hybrid Mamba-Transformer mixture-of-experts model with 55B active parameters and a one-million-token context window. It is optimized for long-running agent workflows, tool use, code, multilingual reasoning, and high-stakes retrieval. NVIDIA publishes the weights, training data, recipes, and fine-tuning workflows under the OpenMDW-1.1 license.

Further reading

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