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

Known issues we've tracked

LAUNCH (2026-07-15): Inkling is Thinking Machines Lab's first-ever model release -- open weights on Hugging Face (original + NVFP4 checkpoints), 975B total / 41B active MoE, native text+image+audio input, up to 1M context, pretrained on 45T tokens. **Inkling-Small** (276B total / 12B active) shipped alongside in preview, 'matching or exceeding its larger sibling on many benchmarks' per the vendor. Available on Tinker at launch (64K/256K context options, 50% launch discount) and via TogetherAI, Fireworks, Modal, Databricks, and Baseten. Strategy note: the company explicitly frames Inkling as a customization substrate monetized through Tinker fine-tuning, not a chatbot -- TechCrunch: revenue depends on the platform, not model distribution. Funding context: a reported ~$50B round was said to be coming together last November but had stalled by January (company declined comment)
2026-07-15•Thinking Machines Lab (thinkingmachines.ai/news/introducing-inkling/), TechCrunch (2026-07-15), Reuters, Axios
Vendor benchmark tables were not published as a simple comparative suite at launch, and the company itself disclaims SOTA -- treat any specific Inkling benchmark numbers circulating on aggregators as unverified until third-party evals (Artificial Analysis, LMArena) publish
2026-07-15•thinkingmachines.ai launch post (no comparative benchmark table), TechCrunch

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.

A

Qwen (Alibaba)

8.8

**Qwen-Image-2.1 went open-weight (weights 2026-09-14, blog 2026-09-20)** -- a unified text-to-image and editing model with a 7B visual-generation component, native transparent (RGBA) output, up to 10 reference images and mask-guided local edits -- but under a **research-only licence, not Apache**: commercial use needs a separate licence from Alibaba. Alibaba's open-weights + API family, and August 2026 was its biggest open-release month yet: **Qwen3.8-2.4T-A95B -- the Max-class flagship -- went open-weight on 2026-08-08** (custom Qwen3.8-Max licence), **Qwen3.8-27B** dense landed Apache 2.0 (8/05), and **Qwen3.8-Flash-Next** (8/24 weights, 8/26 blog) previews the Qwen4 architecture: 125B main + 51B n-gram embeddings with only 6B active, served as Qwen3.8-Flash at $0.15/$0.47 per 1M. Qwen 3.7 Max remains the GA API flagship ($2.50/$7.50)

A

MiniMax M3

8.4

**MiniMax-H3's weights are public on Hugging Face (repo 2026-07-28, updated 2026-08-13) under a community licence whose open-weight grant is limited to the US, EU, UK and South Korea**, and **MiniMax Music 3 (2026-08-07)** ships open weights for five-minute full-song generation with a prominent-attribution commercial clause. 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 WEIGHTS LIVE on HuggingFace since June 12 (~428B total / ~23B active, native multimodal, minimax-community license)

A

Gemma 4 (Google)

8.3

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices **EmbeddingGemma 2 (announced 2026-10-06; weights on Hugging Face since 9/14) adds a 740M-parameter Apache 2.0 embedding model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space, with an 8K context, Matryoshka truncation down to 128 dimensions and about 191 MB of RAM for text-only use on a Pixel 11 Pro.**

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 K3 (Moonshot)

8.1

Moonshot's 2.8T-parameter Kimi K3 (launched 2026-07-16/17) is the largest open-weight model ever released -- 1M context, multimodal, $3/$15 per 1M via API, ranked best-available on Arena.AI at launch. WEIGHTS SHIPPED ~2026-07-26/27 on Hugging Face (2.8T total / 104B activated, safetensors) under a custom Kimi K3 License, not the Modified MIT of the K2 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