AI model comparison

GPT-6.1 Sol vs GPT-6 Astra

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

GPT-6.1 Sol and GPT-6 Astra are candidates for coding, reasoning and professional workflows. Their recorded context limits are the same (1,050,000 tokens), so context capacity alone will not select a winner.

Coding and document work need a checkable deliverable: a patch that passes required checks, or an answer supported by the supplied material. A broader specification sheet does not establish better results for your repository or documents.

The prices below belong to the recorded API routes. Processing tiers, long-context rules, cache behavior and tool charges can change the cost of a complete task.

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
VS

OpenAI

GPT-6 Astra

GPT-6 Astra is OpenAI's model for demanding reasoning, coding and extended agent work. It accepts text and images and produces text.

Context
1.05M
Max output
128K
Input / 1M tokens
From $10.00
Output / 1M tokens
From $50.00

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

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 Astra:1.05M

Same value

Maximum output

Higher listed limit

GPT-6.1 Sol:128K

GPT-6 Astra:128K

Same value

Specifications

Pricing, limits and capabilities

Specifications for GPT-6.1 Sol and GPT-6 Astra. Higher limits and lower prices describe these figures only.
SpecificationGPT-6.1 SolGPT-6 Astra
ProviderOpenAIOpenAI
Listed pricing routeOpenAIOpenAI
Model familyGPT-6GPT-6
Accepted inputstext, imagetext, image
Produced outputstexttext
Context window1.05M1.05M
Max output128K128K
Input price / 1MFrom $2.00From $10.00
Output price / 1MFrom $10.00From $50.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProvider termsProvider terms

Workload guidance

Which model should you choose?

Decide using accepted tasks

Run the same representative jobs with identical tool access and an explicit effort setting. Inspect incomplete work and failed tool calls alongside successful outputs. Compare total billed usage, time to a verified deliverable and the corrections a person must make.

If the lower-cost candidate passes your acceptance criteria, use it for that workload. Move difficult cases to the more expensive route when the evaluation demonstrates a useful improvement. Coding and document work need a checkable deliverable: a patch that passes required checks, or an answer supported by the supplied material. No universal winner is inferred from a specification score.

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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