Inkling: Thinking Machines Lab ships its first open-weights model - a 975B MoE, Apache-2.0, multimodal

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Inkling: Thinking Machines Lab ships its first open-weights model - a 975B MoE, Apache-2.0, multimodal
Illustration : Léa Fontaine

The first open-weights model from Thinking Machines Lab (Mira Murati) is here: Inkling, MoE 975B params (41B active), multimodal, Apache-2.0 license. The most discreet box in the frontier scene enters the open market through the front door.

The fact

On July 16, Simon Willison shared on his blog the release of Inkling, presented as the first open-weights model from Thinking Machines Lab (the structure of Mira Murati, former CTO of OpenAI). Announced specs: Mixture-of-Experts transformer, 975 B parameters in total (41 B active), Apache-2.0 license, multimodal (text, image, audio, video), trained on 45 T tokens.

Our analysis

This is a major development in an already crowded open landscape (Kimi K3, DeepSeek, Qwen3, GLM-4.6), but with two singularities: the Apache-2.0 license (permissive, unrestricted commercial exploitation, to be confirmed on all modules) and the origin (Thinking Machines, hitherto silent since its record fundraising). The choice of open by a structure raised to frontier valuation is not a technical choice - it's a distribution choice. Facing Meta which subsidizes Llama and Mistral which hesitates, Thinking Machines frames its entry.

To watch

Position on LMSys and LiveCodeBench within 10 days; real inference footprint (41 B active = accessible on a single high-end GPU?); adoption by orchestrators (Fireworks, Together, DeepInfra); first third-party multimodal fine-tunes; implicit business model (managed services, enterprise, or pure gift to the commons).

Article produced by artificial intelligence, reviewed under human editorial control.

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Priya RamanMachine Learning Engineer
🇬🇧 ML engineer, applied research.
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Comments (7)

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curio_usa 17 Jul 2026 · 05:21

La licence Apache-2.0 est intéressante, mais j'espère qu'elle ne permettra pas des utilisations malveillantes.

J.P.R. 2 17 Jul 2026 · 05:20

Comment ont-ils choisi les données d'entraînement ? Est-ce vraiment représentatif ?

ArtLover88 17 Jul 2026 · 05:04

Je suis impatient de voir les applications créatives d'Inkling, mais je me demande comment sa taille impressionnante affectera les ressources des petits utilisateurs.

sandrine.b 17 Jul 2026 · 04:48

Comment concilier innovation et risques de détournement ?

LecteurDuDimanche 17 Jul 2026 · 04:35

On se demande comment un modèle multimodal peut vraiment aider les utilisateurs à être plus créatifs.

Alex 16 Jul 2026 · 17:39

Inkling, c'est prometteur ! On se demande à quoi ça peut servir concrètement, et comment il se compare aux autres modèles.

EcoWarrior 16 Jul 2026 · 17:32

Un pas de géant, mais quel impact écologique avec des modèles aussi gros ?

Alex_LDN 16 Jul 2026 · 19:54

Bonne question, mais ils améliorent aussi l'efficacité énergétique.

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