Is Inkling (Thinking Machines Lab) Down?
Quickest ways to check the current status of thinkingmachines.ai plus recent known issues and working alternatives if it's out.
Last editorial review: 2026-07-18
How to check right now
The simplest check. If it loads and you can log in, the tool is up for you.
User-reported outages aggregated across regions. Good signal for partial or regional outages.
Live tweets from other users. Fastest signal for a fresh outage -- often beats status pages by 10-20 minutes.
Most vendors publish a status page at status.[domain] or on Statuspage.io. Google-search to find the current URL.
Known issues we've tracked
Issues here are sourced from our editorial sweeps, not real-time telemetry. Newer issues may exist.
What to use if Inkling (Thinking Machines Lab) is down
Top AIToolTier-ranked alternatives in the same category, ordered by our overall score.
Qwen (Alibaba)
8.8Alibaba'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)
MiniMax M3
8.4MiniMax'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 WEIGHTS LIVE on HuggingFace since June 12 (~428B total / ~23B active, native multimodal, minimax-community license)
Gemma 4 (Google)
8.3Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices
IBM Granite 4.0
8.2IBM'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
Kimi K3 (Moonshot)
8.1Moonshot's 2.8T-parameter Kimi K3 (launched 2026-07-16/17) is the largest open-weight model ever announced -- 1M context, multimodal, $3/$15 per 1M via API, ranked best-available on Arena.AI at launch. Weights promised late July (press cites 7/27); K2.6/K2.7-Code remain the shipped-weights line
About Inkling (Thinking Machines Lab)
Tier A (8.0/10). Mira Murati's $12B lab ships its first model (2026-07-15): a 975B/41B-active open-weights MoE that reasons natively over text, images, and audio with a 1M-token context -- positioned not as the strongest model, but as the best starting point for fine-tuning via Tinker