SSyncDev

AI model comparison

GPT-5.6 Luna vs Inkling

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

GPT-5.6 Luna from OpenAI lists 1.05M context, 128K maximum output, $0.20 input per 1M tokens, $1.20 output per 1M tokens. Inkling from Thinkingmachines lists 1.05M context, 1.05M maximum output, $1.00 input per 1M tokens, $4.05 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

OpenAI

GPT-5.6 Luna

GPT-5.6 Luna from OpenAI: Cost-efficient GPT-5.6 model for fast, high-volume workloads.

Context
1.05M
Max output
128K
Input / 1M tokens
$0.20
Output / 1M tokens
$1.20

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
Full model profilegithub.com ↗
VS

Thinkingmachines

Inkling

Inkling from Thinkingmachines: Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio.

Context
1.05M
Max output
1.05M
Input / 1M tokens
$1.00
Output / 1M tokens
$4.05

Accepts

  • Text input
  • Image input
  • Audio input

Produces

  • Text output
Full model profilegithub.com ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GPT-5.6 Luna

  • Context capacity: 1.05M
  • Input price: $0.20
  • Output price: $1.20

Inkling

  • Maximum output: 1.05M

Context capacity

Higher listed limit

GPT-5.6 Luna:1.05M

Inkling:1.05M

GPT-5.6 Luna

Maximum output

Higher listed limit

GPT-5.6 Luna:128K

Inkling:1.05M

Inkling

Input price

Lower listed token rate

GPT-5.6 Luna:$0.20

Inkling:$1.00

GPT-5.6 Luna

Output price

Lower listed token rate

GPT-5.6 Luna:$1.20

Inkling:$4.05

GPT-5.6 Luna

Specifications

Pricing, limits and capabilities

Specifications for GPT-5.6 Luna and Inkling. Higher limits and lower prices describe these figures only.
SpecificationGPT-5.6 LunaInkling
ProviderOpenAIThinkingmachines
Listed pricing routeOpenAIThinkingmachines
Model familygpt-lunaling
Accepted inputstext, image, pdftext, image, audio
Produced outputstexttext
Context window1.05MHigher1.05M
Max output128K1.05MHigher
Input price / 1M$0.20Lower$1.00
Output price / 1M$1.20Lower$4.05
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedDocumented
Structured outputDocumentedNot documented
LicenseProprietaryApache-2.0

Workload guidance

Which model should you choose?

Consider GPT-5.6 Luna if you need larger context or a lower listed input rate or a lower listed output rate. Consider Inkling if you need larger maximum output. Inkling offers downloadable weights; GPT-5.6 Luna is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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