AI model comparison

GPT-6.1 Sol vs Grok 4.7

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

Grok 4.7 and GPT-6.1 Sol are hosted text-output models that accept text and images. Their reasoning controls and API integration are important parts of a fair comparison.

Specify the effort

Grok documents low, medium, high and xhigh reasoning effort, with high as the default. Sol starts at low and does not accept none or minimal. Choose settings deliberately, then record latency, generated usage and accepted results. Comparing an unspecified default against a constrained effort can hide the cause of a difference.

Tools and current facts

Enable the required search or application tools explicitly. Neither a model name nor tool-call support establishes that an answer has consulted current sources. Inspect citations and validate structured results against your schema.

Context and billing

Grok documents a 500,000-token window and a higher-context price schedule beyond 200,000 tokens. Sol’s documented window and pricing conditions differ. Use a representative request with its actual processing mode rather than extrapolating from one input-token figure.

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

xAI

Grok 4.7

Grok 4.7 is a hosted model for coding, knowledge work and agents, with text and image input and text output.

Context
500K
Input / 1M tokens
$2.00
Output / 1M tokens
$6.00

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.

GPT-6.1 Sol

  • Context capacity: 1.05M

Context capacity

Higher listed limit

GPT-6.1 Sol:1.05M

Grok 4.7:500K

GPT-6.1 Sol

Specifications

Pricing, limits and capabilities

Specifications for GPT-6.1 Sol and Grok 4.7. Higher limits and lower prices describe these figures only.
SpecificationGPT-6.1 SolGrok 4.7
ProviderOpenAIxAI
Listed pricing routeOpenAIxAI API
Model familyGPT-6—
Accepted inputstext, imagetext, image
Produced outputstexttext
Context window1.05MHigher500K
Max output128K—
Input price / 1MFrom $2.00$2.00
Output price / 1MFrom $10.00$6.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProvider termsPublisher terms

Workload guidance

Which model should you choose?

Choose from measured outcomes

For coding, use the same repository issues and test commands. For research, supply the same question and source requirements. Count unsupported claims, malformed tool arguments and incorrect actions alongside successful answers.

Shortlist the integration that fits your existing client, then compare the complete workflow. Measure cost and time to an accepted result, including retries and review. A wider input window is useful only when the model can use your extra material correctly.

Source notes

This is a documentation-based selection guide, not an independent benchmark. Publisher source 1 · Publisher source 2.

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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