Quick Profile

Thinking Machines: Inkling Small

Thinking Machines: Inkling Small is a balanced model with long context support, suited to multimodal analysis and agent workflows for enterprise teams.

Try Thinking Machines: Inkling Small with your team

Last reviewed: 2026-08-01

Thinkingmachines

Stable

Context Window

524,288

Input / 1M

$0.75

Output / 1M

$1.80

What can you do with Thinking Machines: Inkling Small?

Practical ways teams can use Thinking Machines: Inkling Small inside governed AI workflows.

Summarize long documents with Thinking Machines: Inkling Small

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Thinking Machines: Inkling Small.

Support finance planning with Thinking Machines: Inkling Small

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Thinking Machines: Inkling Small.

Prepare legal and compliance reviews with Thinking Machines: Inkling Small

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Thinking Machines: Inkling Small.

Create presentations with Thinking Machines: Inkling Small

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Thinking Machines: Inkling Small.

Code and debug with Thinking Machines: Inkling Small

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Thinking Machines: Inkling Small.

Analyze spreadsheets with Thinking Machines: Inkling Small

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Thinking Machines: Inkling Small.

Draft customer communications with Thinking Machines: Inkling Small

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Thinking Machines: Inkling Small.

Build workflow automations with Thinking Machines: Inkling Small

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Thinking Machines: Inkling Small.

Research competitors and markets with Thinking Machines: Inkling Small

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Thinking Machines: Inkling Small.

Create knowledge-base answers with Thinking Machines: Inkling Small

Answer employee questions from internal policies, product docs, training material, and operating procedures with Thinking Machines: Inkling Small.

Improve security reviews with Thinking Machines: Inkling Small

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Thinking Machines: Inkling Small.

Generate product and marketing copy with Thinking Machines: Inkling Small

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Thinking Machines: Inkling Small.

Why this model

Thinking Machines: Inkling Small is available in Remova as a long context option with $0.75 per 1M tokens input pricing, $1.80 per 1M tokens output pricing, and text+image+audio->text modality support for enterprise AI operations.

Thinking Machines: Inkling Small offers long context capacity for enterprise prompts and documents.
Current Remova pricing band is balanced: $0.75 per 1M tokens input and $1.80 per 1M tokens output.
Best-fit workloads include: Multimodal analysis, Agent workflows, Advanced reasoning.
Keep role-based access in place before broad rollout.

At a glance

Model ID: thinkingmachines/inkling-small
Context Window: 524,288 tokens
Modality: text+image+audio->text
Input Modalities: text, image, audio
Output Modalities: text
Input Price: $0.75 per 1M tokens
Output Price: $1.80 per 1M tokens
Provider: Thinkingmachines
Listing Date: 2026-07-30

Strengths

Thinking Machines: Inkling Small is suited for multimodal analysis.
Supports long context for multi-step prompts and larger working sets.
Pricing profile is balanced, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Quality and latency should be benchmarked against your internal prompt set before broad rollout.
Long-context prompts can increase spend and latency if prompts are not scoped carefully.
Balanced-price tiers still need policy-based routing to protect monthly budgets.
Multimodal pipelines require strict input handling and validation policies for reliability.

Best for

Thinking Machines: Inkling Small for document, image, or mixed-input processing pipelines.
Thinking Machines: Inkling Small for tool-driven automation with governance checkpoints.
Thinking Machines: Inkling Small for complex analysis and long-form decision support.
Thinking Machines: Inkling Small for productivity use cases that still need review and escalation paths.

Rollout checklist

Define where Thinking Machines: Inkling Small is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
Start with one workflow, then expand after you verify quality and spend.
Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

include_reasoning

Enable only where reasoning traces add operational value or review quality.

logit_bias

Use this parameter only with tested defaults in production workflows.

logprobs

Use this parameter only with tested defaults in production workflows.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Knowledge Hub

Thinking Machines: Inkling Small FAQs

Choose Thinking Machines: Inkling Small when the workload aligns with multimodal analysis, agent workflows, advanced reasoning and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Thinking Machines: Inkling Small with your team