Atlas / Models / Thinkingmachines / Thinking Machines: Inkling (batch)

Thinking Machines: Inkling (batch)✓ Catalog verified

thinkingmachines/inkling:batch

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,...

Input price
$0.50 /1M
Output price
$2.02 /1M
Context
524K
Modalities
textimageaudio
Released
Jul 17, 2026
Tool calling
✓ Yes
Atlas signal
87/100
01

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,...

Access: available through the official Thinkingmachines API. Context window: 524K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 7, 2026
02

Specifications

API identifierthinkingmachines/inkling:batch
ProviderThinkingmachines
Model typeMultimodal LLM
Context window524K catalog
Input modalitiestext · image · audio
Output modalitiestext
ReleasedJul 17, 2026
ModeratedNo
Architecture modalitytext+image+audio->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltystoptemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": null,
  "top_p": null,
  "temperature": null,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for thinkingmachines/inkling:batch as published in the catalog.

$0.50
Input /1M
$2.02
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$5e-7$0.50 / 1MPer input token
Completion tokens$0.000002025$2.02 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.66Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio Processing✓ SupportedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Thinking Machines: Inkling (batch)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
85signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Thinking Machines: Inkling (batch) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="thinkingmachines/inkling:batch",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Thinking Machines: Inkling (batch) cost?

$0.50 per 1M input tokens and $2.02 per 1M output tokens on the official Thinkingmachines API.

What is the context window of Thinking Machines: Inkling (batch)?

Thinking Machines: Inkling (batch) supports up to 524K tokens of context.

Does Thinking Machines: Inkling (batch) support tool / function calling?

Yes, Thinking Machines: Inkling (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Thinking Machines: Inkling (batch)?

Use the official Thinkingmachines API with the model id `thinkingmachines/inkling:batch`. See the Quick start section above for code examples.