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Model AI · PROFILE REVIEWED 23 SEPTEMBER 2026

GPT-6 Sol

A new workhorse route for difficult coding and agent tasks with a 1.05M context window. The specifications and price are concrete, but the launch performance claims are vendor-reported, so HubAI withholds a score until a same-work test measures accepted results and complete cost.

BEST FORComplex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume modelNOT IDEAL FORLaunch benchmarks, factuality and safety comparisons are provider-reported
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Price
$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.
Access
Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans
EDITORIAL PROFILEIndependently structuredPRICING CHECKSeparate check not recordedDISCLOSURENo pay-to-win score
BEFORE YOU BUY

GPT-6 Sol: evidence before purchase

What we can verify

Supplier information and independent test results are separate. Check the linked product and pricing sources before purchase.

What an independent test needs to cover

Test output accuracy, retries, reviewer effort, data handling and total cost using the pilot below. No completion date is scheduled; a score will require a published method and results.

Supplier facts recorded
23 September 2026
Recheck required: more than 30 days since check. This is not an independent test date.
Methodology checked on

Price and UK access check

$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.

Pricing freshness: Check date not recorded.

VERIFIED CHANGE HISTORY

What changed for GPT-6 Sol.

Open Change Radar →
Access

ChatGPT starts GPT-6 Intelligent UI rollout in Chat

Plan, reasoning option, account rollout and enterprise settings decide access. Visual polish is not evidence of correct calculations.

OpenAI Chat rollout — 7 October 2026 ↗
Launch

OpenAI releases GPT-6.1 Sol

Teams can test the new route without a higher headline token tier, but product-surface access, tools, agent persistence, review and complete cost still need migration evidence.

OpenAI GPT-6.1 Sol launch ↗
Launch

OpenAI releases GPT-6 Sol and GPT-6 Luna

Teams gain a clear price ladder, but inputs above 272K use higher rates and provider benchmarks do not establish accepted-task cost.

OpenAI GPT-6 Sol and Luna launch ↗
EDITOR VERDICT

A new workhorse route for difficult coding and agent tasks with a 1.05M context window. The specifications and price are concrete, but the launch performance claims are vendor-reported, so HubAI withholds a score until a same-work test measures accepted results and complete cost.

WHAT IT IS

GPT-6 Sol, explained.

GPT-6 Sol is designed for complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model. HubAI treats it as a workflow purchase rather than a novelty: the relevant question is whether it produces an acceptable result repeatedly, with controls your team can understand and a cost that remains predictable after the trial ends.

Best forComplex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume modelTrialMetered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans
60-SECOND BUYING DECISION

Where GPT-6 Sol fits—and where it does not.

BUY FOR

Complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model

MEASURE

accepted, tested code changes with lower cycle time and no increase in escaped defects

MAIN TRADE-OFF

Launch benchmarks, factuality and safety comparisons are provider-reported

PROOF TEST

Assign the same bounded repository change with tests and security checks.

PRODUCT PROOF

See the workflow before you buy.

PROFILE REVIEW · 23 SEPTEMBER 2026
S6OpenAI Playground and Codex; public API model ID gpt-6-sol
01

Bring one representative input

02

Run the same job three times

03

Measure accepted output and cost

HUBAI TEST CONSOLE · MODEL AI
DATA & PRIVACY

Verify the data-use, retention, model-improvement, regional-processing and administrator terms for the exact OpenAI API, ChatGPT Work, Codex or GitHub Copilot route. OpenAI lists EU data residency only for the standard API tier; product surfaces and third-party routes have separate controls.

DEPLOYMENT

gpt-6-sol through the OpenAI API, with gradual rollout in ChatGPT Work, Codex and eligible GitHub Copilot plans. The API page lists a 1,050,000-token context window, 128K maximum output and reasoning from none through max. Inputs above 272K use higher full-request rates.

WORKS WITH

OpenAI Responses API · ChatGPT Work · Codex · GitHub Copilot · Text and image input · Tool-enabled agent workflows

EDITORIAL STATUS

Vendor facts and HubAI opinion are separated. Sponsored placement cannot buy a higher score.

HUBAI PROCUREMENT PASSPORT

A buying record your team can challenge.

One compact record for price, access, data handling, deployment and the test that must pass before adoption.

BUY FORComplex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume modelCOMMERCIAL ROUTE$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans
DATA & PRIVACYNeeds buyer verification

Verify the data-use, retention, model-improvement, regional-processing and administrator terms for the exact OpenAI API, ChatGPT Work, Codex or GitHub Copilot route. OpenAI lists EU data residency only for the standard API tier; product surfaces and third-party routes have separate controls.

DEPLOYMENTRoute mapped

gpt-6-sol through the OpenAI API, with gradual rollout in ChatGPT Work, Codex and eligible GitHub Copilot plans. The API page lists a 1,050,000-token context window, 128K maximum output and reasoning from none through max. Inputs above 272K use higher full-request rates.

INTEGRATIONS6 named routes

OpenAI Responses API · ChatGPT Work · Codex · GitHub Copilot · Text and image input · Tool-enabled agent workflows

PROOF TESTRequired before scale

Run ten frozen tasks through Luna, then route failures and high-value cases to Sol. Keep tools, permissions and acceptance tests fixed; record accepted results, unsupported output, tool failures, retries, cache behaviour, latency, review minutes and complete billed cost.

Official-source facts HubAI editorial judgement Buyer verification still requiredProfile checked 23 September 2026
STRENGTHS

What earns its shortlist place.

+01

Published 1,050,000-token context window and 128K maximum output

Why it matters: accelerates repository navigation.

+02

Reasoning controls from none through max, with text and image input

Why it matters: removes repetitive implementation work.

+03

Available through API, ChatGPT Work, Codex and eligible GitHub Copilot plans

Why it matters: keeps explanation and change close together.

LIMITATIONS

What can break the business case.

−01

Launch benchmarks, factuality and safety comparisons are provider-reported

Buyer impact: can create plausible but fragile code.

−02

Inputs above 272K reprice the full request at higher rates

Buyer impact: moves effort into review and testing.

−03

Tools, retries, infrastructure and reviewer time can dominate complete task cost

Buyer impact: requires policy controls for private repositories.

Cost reality

The subscription price is only the starting point. HubAI evaluates usage limits, failed attempts and the work needed to produce one usable result. Pricing changes frequently, so the structure and verification date matter more than a headline price.

PRICING DECODER

Budget for the result, not the plan badge.

Published structure
$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.
Free or trial route
Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans
Primary cost driver
seat price, premium requests, agent runs and reviewer correction time
Budget test
Record the total cost, attempts and human correction needed to produce ten accepted results.

Separate pricing check date: not recorded. Profile review: 23 September 2026. Confirm live price, VAT, region, usage rights and cancellation terms with the vendor before purchase.

HUBAI TRUE COST LAB

What does one accepted result really cost?

Model your own usage. HubAI separates subscription cost from retries and human review—without pretending a headline plan price tells the whole story.

DERIVED VALUE · EFFECTIVE COST / ACCEPTED OUTPUT£3.414286Human review dominates
Expected accepted outputs70
Expected unaccepted attempts30
Cost compositionper accepted output
Software £0.414286Human review £3.00Overhead £0.00
Human review minutes apply to accepted outputs only. Include review of unsuccessful attempts in monthly overhead. Evidence labels: the published price reference is SOURCE DATA; every editable number is USER INPUT / ASSUMPTION; totals are DERIVED VALUES. Run a representative batch and count only outputs your team would genuinely publish or use. This scenario is not a vendor quote or financial advice.
PRACTICAL GUIDE

Where GPT-6 Sol earns its place.

01

Build and test a long-running coding agent

Test this job with your own inputs and judge the finished result—not the first draft.

02

Run multi-file refactoring with deterministic tool calls

Test this job with your own inputs and judge the finished result—not the first draft.

03

Evaluate a complex enterprise workflow against cost and latency

Test this job with your own inputs and judge the finished result—not the first draft.

A safer four-step trial

  1. Start with one narrow job that matches GPT-6 Sol's strongest use case.
  2. Prepare approved source material, examples and a clear acceptance standard.
  3. Run three realistic tasks and record attempts, correction time and export quality.
  4. Keep human approval before publishing, sending or acting on the result.
READY-TO-USE PROMPTS

Start with a better brief.

01Act as a specialist in model ai. Ask me three questions before creating the first draft. The outcome I need is: [describe outcome].
02Create two approaches for [task]. Use this audience: [audience]. Respect these constraints: [constraints]. Explain the trade-off between the two approaches.
03Review this output against accuracy, tone, privacy, cost and usability. List the changes required before a person should approve it.
RISK & GOVERNANCE

What to check before adoption.

Do not place confidential, personal or rights-restricted material into GPT-6 Sol until your organisation has reviewed its current terms, retention settings and account controls. AI output can be plausible and still wrong; regulated, financial, legal and employment decisions require qualified human review.

HUBAI REVIEW RECORD

What HubAI checked—and when.

This is HubAI's editorial record, not the vendor's product changelog or a live uptime claim.

04 SEP 2026

Decision layer expanded

Use-case routes, relevant comparisons and alternatives connected to the product profile.

03 SEP 2026

Commercial profile reviewed

Entry price structure, free or trial route and buyer limitations checked for editorial use.

23 September 2026

Editorial profile published

Verdict, best fit, strengths, limitations, prompts and governance questions structured.

ALSO SHORTLIST

Alternatives to GPT-6 Sol

QUICK COMPARISON

GPT-6 Sol against its closest shelf.

Scores are editorial signals, not a universal winner. Choose around the exact job and run the same proof test.

ProductHubAI scoreBest forPrice structureAccessDecision
GPT-6 Sol CURRENTComplex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plansCurrent profile
Muse WonderA measured pilot of long-context coding or reasoning through Meta's hosted APIUSD per million tokens: $4 input, $0.20 cached input, $20 output. Web grounding adds $2.50 per 1,000 search queries; no long-context premium is listed. · Recorded check: 14 October 2026. USD list price; UK price/VAT to confirm.Paid preview API or Muse Code subscription. No unmetered free trial or UK-specific entitlement verified.Compare →
Muse Wonder FullEvaluating the higher-capability Muse model inside an eligible coding subscriptionMuse Code Power Usage $50/month or Maximum $200/month, USD list prices. These are subscription prices, not Full API token rates. · Recorded check: 14 October 2026. USD list price; UK price/VAT to confirm.Subscription-only route; no public pay-as-you-go API or unmetered trial verified. Confirm UK account eligibility before paying.Compare →
Muse CodeTerminal-based repository work with explicit approval and change reviewUSD monthly plans: Everyday $5, High Usage $15, Power Usage $50, Maximum $200. Wonder Full requires one of the upper two plans; verify current usage allowances. · Recorded check: 14 October 2026. USD list price; UK price/VAT to confirm.Published paid subscriptions; no unlimited free trial or universal UK availability verified.Compare →
PROCUREMENT CHECKLIST

Questions to answer before adoption.

  1. 01What repository data is retained or used for training?
  2. 02Can policies block secrets and unsafe commands?
  3. 03Which IDE and Git workflows are supported?
  4. 04How much reviewer time does an accepted change need?
COMMON BUYER QUESTIONS

GPT-6 Sol FAQ.

What is GPT-6 Sol best for?

GPT-6 Sol is best suited to complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model. HubAI's current verdict is: A new workhorse route for difficult coding and agent tasks with a 1.05M context window. The specifications and price are concrete, but the launch performance claims are vendor-reported, so HubAI withholds a score until a same-work test measures accepted results and complete cost.

Does GPT-6 Sol have a free plan or trial?

Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans. Check the official product page before buying because allowances, regions and eligibility can change.

How much does GPT-6 Sol cost?

$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates · Profile record only; separate pricing check not recorded: 23 September 2026. USD list price; UK price/VAT to confirm.. The useful comparison is total cost per accepted result, including retries, limits and human correction—not the advertised entry price alone.

What should I compare with GPT-6 Sol?

Compare products in the same Code AI shelf against one identical task, acceptance rule and cost window. Focus on accepted, tested code changes with lower cycle time and no increase in escaped defects.