AI model comparison

GPT-5.1 Codex mini vs Inkling

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

GPT-5.1 Codex mini from OpenAI lists 400K context, 128K maximum output, $0.25 input per 1M tokens, $2.00 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-5.1 Codex mini

GPT-5.1 Codex mini from OpenAI: Coding-optimized GPT model for repository edits, reviews, and agentic software work.

Context
400K
Max output
128K
Input / 1M tokens
$0.25
Output / 1M tokens
$2.00

Accepts

  • Text input
  • Image input

Produces

  • Text output
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

At a glance

Key differences

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

GPT-5.1 Codex mini

  • Input price: $0.25
  • Output price: $2.00

Inkling

  • Context capacity: 1.05M
  • Maximum output: 1.05M

Context capacity

Higher listed limit

GPT-5.1 Codex mini:400K

Inkling:1.05M

Inkling

Maximum output

Higher listed limit

GPT-5.1 Codex mini:128K

Inkling:1.05M

Inkling

Input price

Lower listed token rate

GPT-5.1 Codex mini:$0.25

Inkling:$1.00

GPT-5.1 Codex mini

Output price

Lower listed token rate

GPT-5.1 Codex mini:$2.00

Inkling:$4.05

GPT-5.1 Codex mini

Specifications

Pricing, limits and capabilities

Specifications for GPT-5.1 Codex mini and Inkling. Higher limits and lower prices describe these figures only.
SpecificationGPT-5.1 Codex miniInkling
ProviderOpenAIThinkingmachines
Listed pricing routeOpenAIThinkingmachines
Model familygpt-codexling
Accepted inputstext, imagetext, image, audio
Produced outputstexttext
Context window400K1.05MHigher
Max output128K1.05MHigher
Input price / 1M$0.25Lower$1.00
Output price / 1M$2.00Lower$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-5.1 Codex mini if you need a lower listed input rate or a lower listed output rate. Consider Inkling if you need larger context or larger maximum output. Inkling offers downloadable weights; GPT-5.1 Codex mini 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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