Alternatives
Products that do what Gemma 3 does
Build with multimodal AI from Google
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Run multimodal AI locally with an encoder-free architecture
Jun 2026 · blog.google
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Hey HN, Henry & Roman here from Cactus. A small, on-device model is fast and private, but sometimes wrong, but frontier models are getting expensive pretty fast. So, we post-trained Gemma 4 E2B post-trained to know when it's wrong. Every response comes with a confidence score between 0 and 1. Developers can accept the on-device when it's high, hand off to a bigger cloud model when it's low. By routing only 15-35% of queries to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks. - ChartQA: 15-20% - LibriSpeech: 25-30% - MMBench, GigaSpeech, MMAU: 30-35% -…
Jul 2026 · github.com
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Text, images, SST, TTS, vision & code: unleash the AI power
2023
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Multimodal reasoning model built for agentic tasks
Jul 2026 · ai.meta.com
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