Google releases Gemma 4 open models
deepmind.google
April 2, 2026
1 min read
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66/100
Summary
Gemma 4 delivers maximum compute and memory efficiency for mobile and IoT devices, enhancing intelligence in these platforms. It supports the development of autonomous agents capable of planning, navigating apps, and completing tasks, while also offering strong audio and visual understanding for rich multimodal applications and multilingual experiences that extend beyond simple translation.
Key Takeaways
- Gemma 4 offers maximum compute and memory efficiency for mobile and IoT devices.
- The model supports the development of autonomous agents that can plan, navigate apps, and complete tasks with native function calling.
- Gemma 4 enables strong audio and visual understanding for rich multimodal applications and creates multilingual experiences that understand cultural context.
- Enterprises using Gemma 4 benefit from rigorous security protocols and a transparent foundation that meets high standards for security and reliability.
Community Sentiment
Positives
- The Gemma 4 models demonstrate impressive performance, particularly the 26b-a4b model, which has been described as the best seen on personal hardware.
- The release of smaller models like the 2B and 4B versions opens up new possibilities for ASR applications, making advanced AI more accessible for various use cases.
- Self-hosting language models is becoming increasingly viable, fulfilling common needs effectively, which is a significant step towards democratizing AI.
Concerns
- The ELO score used as a benchmark for Gemma 4 is misleading, as it fails to show that it does not outperform the Qwen 3.5 27B model in most tests.
- Some users report that the 31b model is completely broken, producing nonsensical outputs regardless of the input, raising concerns about its reliability.
- Overall, the release has been described as somewhat disappointing, indicating that expectations for performance were not met.