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Inkling

Open weights 975B multimodal model built for fine-tuning

Details

External ID
1201055
Source
PH
Company
—
Product
Inkling
Website domain
producthunt.com
Launched
July 20, 2026
Cohort
—
Upvotes
181
Upvotes percentile
0.23623853211009174
Tags
Artificial Intelligence, Development
Fetched at
Sept. 7, 2026, 1:22 a.m.
Updated at
Sept. 7, 2026, 1:22 a.m.

Description

Inkling is Thinking Machines’ first open-weights model, a 975B MoE with 41B active parameters, 1M context, native reasoning across text, images, and audio, and controllable thinking effort. Fine-tune it on Tinker or download the Apache 2.0 weights.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
open weights multimodal model for fine-tuning
Manually corrected
False

Could you build this?

No Training a 975-billion parameter multimodal Mixture-of-Experts (MoE) model requires immense supercomputing clusters, hundreds of millions of dollars, and cutting-edge machine learning research expertise.

What it would actually take: Training a 975B MoE requires massive multi-node GPU/TPU clusters (e.g., Megatron-LM, DeepSpeed), multi-trillion token multimodal datasets, custom MoE routing architectures, and distributed training engineering (pipeline, tensor, and expert parallelism). The sheer capital, infrastructure, and algorithmic specialization put this far outside the reach of vibe coding.

Competitors

Other products that read as similar to this one — 12 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 13 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 180 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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