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Inkling

Open-weight multimodal model for agents, coding, and fine-tuning

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PricingFree
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Inkling is listed under AI Models & Platforms AI tools.

Summary

What is Inkling?

Inkling is a general-purpose multimodal model from Thinking Machines Lab. It accepts text, image, and audio inputs, produces text, supports a one-million-token context window, and is distributed through open weights, Tinker API access, and third-party inference providers.

Best fit

Best for

Developers and researchers needing an open multimodal foundation model

Audience

Who is it for?

AI researchersModel engineersAgent developersCoding-tool teamsOrganizations with large GPU infrastructure
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Text, image, and audio input with text output

975B total parameters with 41B active

Context window up to one million tokens

Open weights under Apache 2.0

Tinker and third-party API access

Support for agentic coding and tool-use workflows

Workflows

Use cases

Building coding assistants

Creating multimodal chatbots

Running tool-using AI agents

Fine-tuning domain applications

Deploying self-hosted research models

Strengths

Pros

  • Apache-2.0 open weights support broad integration
  • Handles text, image, and audio inputs
  • Available through both self-hosted and API paths
Considerations

Cons

  • Self-hosting requires very large GPU memory
  • Open weights do not remove safety and governance needs
  • Hosted inference and fine-tuning costs depend on providers
Considerations

Limitations

Inkling can hallucinate, miss instructions, reflect training-data bias, and degrade in long interactions. Self-hosting requires at least 600 GB aggregated VRAM for the NVFP4 checkpoint or substantially more for BF16, plus application-level safeguards and evaluation.

Cost

Pricing details

Pricing modelFree
Free planYes
Free trialYes
Pricing context

Billing options

Free weight downloadProvider-priced hosted inferenceProvider-priced fine-tuning
Pricing context

Pricing note

Inkling weights are publicly downloadable under Apache 2.0, so the model is recorded as Free with an ongoing Free Plan and no time-limited Free Trial. Hosted Tinker or third-party inference and fine-tuning can incur separate provider charges.

View official pricing
Compatibility

Supported languages

  • English
  • General multilingual support
Connectivity

Integrations

Hugging Face Transformers

vLLM

SGLang

Tinker

Third-party inference providers

Docker Model Runner

Specs

Technical details

PlatformsAPI
Multilingual supportYes
Login requiredNo
Open sourceYes
LicenseApache 2.0
DeploymentHybrid
CompanyThinking Machines Lab, Inc.
Launch year2026
Current versionJuly 15, 2026 release
Models / versionsInkling BF16 Inkling NVFP4 975B total and 41B active MoE One-million-token context
Editions / plansOpen weights Tinker API access Third-party inference
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

Inkling is a general-purpose multimodal model from Thinking Machines Lab. It accepts text, image, and audio inputs, produces text, supports a one-million-token context window, and is distributed through open weights, Tinker API access, and third-party inference providers.
Developers and researchers needing an open multimodal foundation model
The listed pricing model for Inkling is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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