Research

Google Gemma 4 Release Brief

Quick reference for the Google Gemma 4 family launched April 2, 2026 under Apache 2.0: four sizes, frontier-level efficiency, and brand-visibility implications for self-hosted deployments.

By Ramanath, CTO & Co-Founder at Presenc AI · Last updated: April 2026

At a Glance

VendorGoogle
FamilyGemma 4 family
LaunchedGoogle released the Gemma 4 family on April 2, 2026 under Apache 2.0, marking Google's most aggressive open-weight push to date. Four deployment-targeted sizes ship in the family, with the 31B Dense variant beating models 20x larger on several benchmarks.
Context window128,000 to 256,000 tokens depending on variant, with 200K as the typical mid-tier configuration.
PricingFree to download and self-host under Apache 2.0. Hosted inference is available via Vertex AI, Google AI Studio, and the broader inference-provider ecosystem (Together AI, Fireworks, Groq, OpenRouter). The Apache 2.0 licensing removes the commercial-scale concerns that have slowed Llama enterprise adoption.
Access channelsHugging Face open-weight release, Vertex AI hosted, Google AI Studio for prototyping, NVIDIA NIM microservices, every major inference provider, and direct download for on-device deployment.

Notable Benchmarks

Gemma 4 31B Dense beats 20x-larger models on MMLU, GPQA, and several coding benchmarks at a fraction of the inference cost. The smaller variants (2B, 9B) target on-device and edge deployment with competitive efficiency.

Strengths

Apache 2.0 licensing (cleanest commercial use of any frontier-tier open-weight family), four sizes covering edge to flagship, frontier-grade efficiency in the 31B Dense, deep integration with Google's deployment surface.

Limitations

Not as long-context as Qwen 3.6 Plus or DeepSeek V4. Behind frontier-tier closed models on the most complex multi-step reasoning. Smaller community ecosystem than Llama.

Brand-Visibility Implications

Gemma 4 will replace Llama in many enterprise self-host deployments because the Apache 2.0 license is dramatically simpler for commercial-scale use. That means brand-visibility gaps that were Llama-specific (poor recall in self-hosted enterprise RAG, weak consumer-app coverage) now apply to Gemma 4 as well. Google's deeper integration into Workspace, Vertex, and Android raises the stakes: Gemma 4 will quietly power features inside products your buyers already use. See Gemma visibility and open-source LLM landscape 2026.

How Presenc AI Tracks This Model

Presenc AI monitors brand visibility on Google's Gemma 4 family as part of continuous multi-platform AI visibility tracking. We sample Google Gemma 4 across representative prompt sets daily, compare against competitor performance on the same prompts, and flag material mention-rate changes so brand teams can respond quickly when AI representation shifts.

Frequently Asked Questions

Google released the Gemma 4 family on April 2, 2026 under Apache 2.0, marking Google's most aggressive open-weight push to date. Four deployment-targeted sizes ship in the family, with the 31B Dense variant beating models 20x larger on several benchmarks.
128,000 to 256,000 tokens depending on variant, with 200K as the typical mid-tier configuration.
Hugging Face open-weight release, Vertex AI hosted, Google AI Studio for prototyping, NVIDIA NIM microservices, every major inference provider, and direct download for on-device deployment.
Gemma 4 will replace Llama in many enterprise self-host deployments because the Apache 2.0 license is dramatically simpler for commercial-scale use. That means brand-visibility gaps that were Llama-specific (poor recall in self-hosted enterprise RAG, weak consumer-app coverage) now apply to Gemma 4 as well. Google's deeper integration into Workspace, Vertex, and Android raises the stakes: Gemma 4 will quietly power features inside products your buyers already use. See Gemma visibility and open-source LLM landscape 2026.

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