SSyncDev

AI model comparison

GPT-6.1 Sol vs GPT-6 Luna

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

Frequent bounded work versus substantial coding

The useful distinction is workload scope. Luna has lower standard token rates; Sol targets more substantial coding and professional tasks. Both can read text and images, but tool behavior through Chat Completions differs.

Read the recorded specifications

The table below shows each profile's documented interface and recorded limits. Missing prices or measurements remain unknown. Open the source links on each profile to confirm the current checkpoint or API route.

Side-by-sideCapabilities and practical differences

OpenAI

GPT-6.1 Sol

GPT-6.1 Sol is OpenAI's updated Sol model for coding and professional tasks. It accepts text and images and returns text.

Context
1.05M
Max output
128K
Input / 1M tokens
From $2.00
Output / 1M tokens
From $10.00

Pricing conditions: Standard starting rates cover prompts up to 272K input tokens. Longer prompts use 2× input/cache rates and 1.5× output rates for the full request. Fast, Ultrafast, cache writes and tool calls have separate conditions.

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profiledevelopers.openai.com ↗
VS

OpenAI

GPT-6 Luna

GPT-6 Luna is OpenAI's lower-cost GPT-6 option for text and image tasks that return text.

Context
1.05M
Max output
128K
Input / 1M tokens
$0.10
Output / 1M tokens
$0.50

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profiledevelopers.openai.com ↗

At a glance

Key differences

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

Context capacity

Higher listed limit

GPT-6.1 Sol:1.05M

GPT-6 Luna:1.05M

Same value

Maximum output

Higher listed limit

GPT-6.1 Sol:128K

GPT-6 Luna:128K

Same value

Specifications

Pricing, limits and capabilities

Specifications for GPT-6.1 Sol and GPT-6 Luna. Higher limits and lower prices describe these figures only.
SpecificationGPT-6.1 SolGPT-6 Luna
ProviderOpenAIOpenAI
Listed pricing routeOpenAIOpenAI
Model familyGPT-6GPT-6
Accepted inputstext, imagetext, image
Produced outputstexttext
Context window1.05M1.05M
Max output128K128K
Input price / 1MFrom $2.00$0.10
Output price / 1MFrom $10.00$0.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProvider termsProvider terms

Workload guidance

Which model should you choose?

A useful decision test

Evaluate Luna on classification, extraction and short responses with strict acceptance checks. Evaluate Sol on code changes and document jobs that require several decisions. If a smaller route needs repeated repair, compare the cost to a finished result before choosing it for volume.

Inspect the first model profile and the second model profile. Keep your test inputs, runtime settings and acceptance criteria with the result so the comparison can be repeated.

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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