AI model comparison

Claude Opus 4.6 vs GPT-5.6 Sol

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

Claude Opus 4.6 and GPT-5.6 Sol both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

Anthropic

Claude Opus 4.6

High-end Claude for difficult coding, planning, and slower expert reasoning

Context
1M
Max output
128K
Input / 1M
$5.00
Output / 1M
$25.00
Output speed

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
VS

OpenAI

GPT-5.6 Sol

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

Context
1.1M
Max output
128K
Input / 1M
$5.00
Output / 1M
$30.00
Output speed

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Claude Opus 4.6 leads in recorded data

  • Output price: $25.00

Where GPT-5.6 Sol leads in recorded data

  • Context capacity: 1.1M

Context capacity

Higher listed limit

Claude Opus 4.6:1M

GPT-5.6 Sol:1.1M

GPT-5.6 Sol

Maximum output

Higher listed limit

Claude Opus 4.6:128K

GPT-5.6 Sol:128K

Same recorded value

Input price

Lower recorded price

Claude Opus 4.6:$5.00

GPT-5.6 Sol:$5.00

Same recorded value

Output price

Lower recorded price

Claude Opus 4.6:$25.00

GPT-5.6 Sol:$30.00

Claude Opus 4.6

Output speed

Higher recorded throughput

Claude Opus 4.6:

GPT-5.6 Sol:

No complete comparison

Time to first token

Lower recorded latency

Claude Opus 4.6:

GPT-5.6 Sol:

No complete comparison

Intelligence Index

Higher directory index

Claude Opus 4.6:

GPT-5.6 Sol:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationClaude Opus 4.6GPT-5.6 Sol
ProviderAnthropicOpenAI
Model familyclaude-opusgpt-sol
Accepted inputstext, image, pdftext, image, pdf
Produced outputstexttext
Context window1M1.1MRecorded lead
Max output128K128K
Intelligence Index
Input price / 1M$5.00$5.00
Output price / 1M$25.00Recorded lead$30.00
Output speed
Time to first token
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary
ReleasedFeb 5, 2026Jul 9, 2026

Workload guidance

Which model should you choose?

On the published numbers, GPT-5.6 Sol accepts the larger context window and GPT-5.6 Sol is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

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Choose any two approved model records and review them with the same evidence rules.

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