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Gemma vs. MiniMax

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

Attribute Gemma MiniMax
Developer Google MiniMax
Current generation Gemma 4 MiniMax M3
Initial release 2024-02-21 2025-01-15
Instruct tuned Yes Yes
Coding Yes Yes
Finetuning Yes Yes
Open source Yes Yes
License Apache 2.0 MiniMax Community
Model sizes E2B, E4B, 12B, 26B (3.8B active), 31B 428B (23B active)
Links
Website
Website Pricing

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

MiniMax

MiniMax is an open-weight model family spanning language, reasoning, multimodal, and agentic workloads. MiniMax M3 is the current generation.

MiniMax introduced the open MiniMax-01 series in January 2025 and followed it with the M1 and M2 reasoning and agent models. MiniMax M3, released in June 2026, is a 428B-parameter mixture-of-experts model with about 23B active parameters. It combines native image and video understanding, a one-million-token context window, sparse attention, computer use, coding, and long-horizon agent capabilities.

Further reading

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