Is DiffusionGemma (Google) Down?

Quickest ways to check the current status of blog.google plus recent known issues and working alternatives if it's out.

Last editorial review: 2026-06-10

How to check right now

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Step 2 -- Crowdsourced reports
DownDetector: DiffusionGemma (Google)→

User-reported outages aggregated across regions. Good signal for partial or regional outages.

Step 3 -- Live social
Search X for “DiffusionGemma (Google)down” →

Live tweets from other users. Fastest signal for a fresh outage -- often beats status pages by 10-20 minutes.

Step 4 -- Official status page
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Known issues we've tracked

LAUNCH (2026-06-10): DiffusionGemma released as an experimental open model. 26B-total / 3.8B-active MoE, Apache 2.0, text-diffusion architecture generating 256-token blocks in parallel with bidirectional attention. Vendor-claimed speeds: up to 4x faster than comparable autoregressive models, 1,000+ tok/s on H100, 700+ tok/s on RTX 5090, ~18GB VRAM quantized. Availability: Hugging Face weights, NVIDIA NIM, Gemini Enterprise Model Garden; vLLM/MLX/llama.cpp support at launch. Google's own caveats: trails Gemma 4 on quality benchmarks; speed advantage weaker on Apple Silicon and in high-QPS serving. Front-page Hacker News reception (226 points) on launch day
2026-06-10•Google blog (blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/), Google developers blog (developers.googleblog.com/en/diffusiongemma-the-developer-guide/), NVIDIA blog (RTX AI Garage)

Issues here are sourced from our editorial sweeps, not real-time telemetry. Newer issues may exist.

What to use if DiffusionGemma (Google) is down

Top AIToolTier-ranked alternatives in the same category, ordered by our overall score.

A

Qwen (Alibaba)

8.8

Alibaba's open-weights + API family -- Qwen 3.7 Max flagship GA (May 20 2026: SWE-Bench Pro 60.6%, Terminal-Bench 69.7%, GPQA 92.4%, $2.50/$7.50 per 1M with 50% promo until 6/22), Qwen3.7-Plus multimodal API (Jun 2), Qwen3.6-27B dense Apache 2.0 (beats the 397B MoE on coding from one consumer GPU)

A

MiniMax M3

8.4

MiniMax's coding/agent flagship -- M3 (June 1 2026): 1M-token context, MSA sparse attention (>15x decoding speedup at long context), SWE-Bench Pro 59.0%, Terminal-Bench 66.0%. Open-weight release pending (not yet on HuggingFace); M2.7 (229B MoE) remains the available open-weights model

A

Gemma 4 (Google)

8.3

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices

A

IBM Granite 4.0

8.2

IBM's enterprise-focused open-weight family -- Granite 4.0 hybrid Mamba-2 + transformer architecture (70-80% memory reduction vs pure transformer), 3B to 32B sizes, Apache 2.0. First open model family to secure ISO 42001 certification. Nano 350M runs on CPU with 8-16GB RAM. 3B Vision variant landed 2026-04-01

A

Kimi K2.6 (Moonshot)

8.1

Moonshot's 1T-parameter MoE open-weights flagship -- Kimi K2.6 (GA 2026-04-20) is #1 open-weights on Artificial Analysis Intelligence Index v4.0 (score 54, ranked #4 overall). Native video input, 256K context, Modified MIT license

About DiffusionGemma (Google)

Tier C (6.8/10). Google DeepMind's experimental open-weights TEXT-DIFFUSION model (June 10, 2026) -- 26B MoE (3.8B active), Apache 2.0, generates 256-token blocks in parallel with bidirectional attention for up to 4x faster output (1,000+ tok/s on H100). Trades some quality vs Gemma 4 for raw speed

Read the full DiffusionGemma (Google)review →