Gemma vs. Kimi

Overview

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.

Initial release: 2024-02-21

Current generation: Gemma 4

Reference

https://ai.google.dev/gemma

Further Reading

• https://ai.google.dev/gemma/docs
• https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/

Overview

Kimi is Moonshot AI's open-weight family for long-context reasoning, coding, multimodal agents, and research. Kimi K3 is the current generation.

Moonshot AI launched Kimi in 2023 with an early focus on long-context document understanding. Kimi K3, released in July 2026, is a 2.8T-parameter mixture-of-experts model with 104B active parameters. It combines native vision, a one-million-token context window, long-horizon coding, knowledge work, reasoning, and agent orchestration. The full model weights are available under the Kimi K3 License.

Initial release: 2023-10-09

Current generation: Kimi K3

Reference

https://huggingface.co/moonshotai/Kimi-K3

Further Reading

• https://github.com/MoonshotAI/Kimi-K2
• https://github.com/MoonshotAI/Kimi-K3
• https://huggingface.co/moonshotai/Kimi-K3