Overview
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Our take
For developers building agentic systems that require multimodal input and complex logical operations, Thinking Machines: Inkling presents a distinct option. With its 1,048,576-token context window, it offers significantly more capacity than many models, facilitating extensive chain-of-thought reasoning and tool-use applications. Unlike alternatives such as Google's Gemini Flash models, which are primarily positioned as AI video tools, Inkling features vision capabilities alongside its focus on general-purpose reasoning and coding. This makes it suitable for tasks demanding both visual input processing and structured programmatic interaction. However, it lacks a free tier, with usage billed per token starting at $1.00 per million. This model is best suited for scenarios in content creation, research, or writing where the cost is justified by the need for advanced reasoning, large context, and agentic workflows.
How Thinking Machines: Inkling stacks up
Among the 63 video & audio tools in our directory, it ranks #1 of 45 on quality (9.2/10), 7% above the 45-tool average of 8.6, and its $1/1M input-token rate is in the premium end — 35% pricier than the 28-model average of $0.74/1M.
Weighing quality against cost, Thinking Machines: Inkling's cost-per-quality-point of $0.11 places it at #16 of 25 for value among video & audio tools.
Thinking Machines: Inkling in depth
Thinking Machines: Inkling, built by Thinkingmachines, sits in the video & audio and chatbots & llms space and is free to start, with paid plans from $1.00/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,048,576 tokens.
On the feature side, Thinking Machines: Inkling brings 1,048,576-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is completely free to use via the openrouter api, while the main trade-off to weigh is that availability and rate limits depend on the upstream provider. Keep both in mind when deciding whether it fits your workflow.
Thinking Machines: Inkling is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓1,048,576-token context window
- ✓Vision (image input)
- ✓Reasoning / chain-of-thought
- ✓Tool / function calling
Pricing
Pros
- +Completely free to use via the OpenRouter API
- +Large 1,048,576-token context window, bigger than most models listed here
- +Built-in reasoning (chain-of-thought) mode for harder problems
- +Accepts images as input (vision-capable)
Cons
- −Availability and rate limits depend on the upstream provider
Who should use Thinking Machines: Inkling
- →Anyone looking for a video & audio and chatbots & llms tool from Thinkingmachines.
- →Teams and individuals focused on content creation, research and writing.
- →Users who want to try before they buy — there's a free tier.
- →People who value completely free to use via the openrouter api.
Who should look elsewhere
- →Those for whom availability and rate limits depend on the upstream provider is a dealbreaker.
Best for
10 Best Thinking Machines: Inkling Alternatives in 2026
Thinking Machines: Inkling is a strong video & audio tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Thinking Machines: Inkling, ranked and compared.
Meta
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for…
Meta
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software…
Meta
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…
Anthropic
Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…
OpenAI
ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…
Google DeepMind
Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…
Z.AI
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds…
Sakana AI
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family.
Thinking Machines: Inkling vs top alternatives
A side-by-side look at how Thinking Machines: Inkling stacks up against its closest rivals.
| Feature | Thinking Machines: InklingThinkingmachines | Meta: Muse Spark 1.3 ContributorMeta | Meta: Muse Spark 1.3Meta | Google: Gemini 3.8 FlashGoogle |
|---|---|---|---|---|
| Quality score | 9.2 / 10 | 9.2 / 10 | 9.2 / 10 | 9.2 / 10 |
| Starting price | $1.00/1M tokens | $0.10/1M tokens | $1.25/1M tokens | $0.75/1M tokens |
| Free tier | Yes — Free variant available | No | No | No |
| API input price | $1 / 1M tokens | $0.1 / 1M tokens | $1.25 / 1M tokens | $0.75 / 1M tokens |
| API output price | $4.05 / 1M tokens | $0.2 / 1M tokens | $4.25 / 1M tokens | $3.75 / 1M tokens |
| Speed | — | — | — | — |
| Context window | 1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens |
| Categories | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs |
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Frequently asked questions
Q. Is Thinking Machines: Inkling free?
Yes — Thinking Machines: Inkling offers a free tier. Paid plans start at $1.00/1M tokens.
Q. How much does Thinking Machines: Inkling cost?
Thinking Machines: Inkling starts at $1.00/1M tokens. API usage is around $1 per 1M input tokens and $4.05 per 1M output tokens.
Q. What is Thinking Machines: Inkling best for?
Thinking Machines: Inkling is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.
Q. What are the best Thinking Machines: Inkling alternatives?
Popular alternatives to Thinking Machines: Inkling include Meta: Muse Spark 1.3 Contributor, Meta: Muse Spark 1.3, Google: Gemini 3.8 Flash and Meta: Muse Spark 1.2 Contributor. Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to Thinking Machines: Inkling?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from Thinking Machines: Inkling?
Common reasons include pricing, specific feature gaps (Availability and rate limits depend on the upstream provider), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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