GPT-⁠6.1 Sol

Q: What is GPT-6.1 Sol?

GPT-6.1 Sol is OpenAI's model for coding, documents and multi-step workflows, released on September 29, 2026. It is an upgrade of GPT-6 Sol and sits between GPT-6.1 Terra and GPT-6 Astra. It reads up to 1 million tokens of text, images and files and writes up to 128,000 tokens in one reply.

Q: Is GPT-6.1 Sol as good as GPT-6 Astra?

Close to it. GPT-6.1 Sol scores 55 on the Artificial Analysis Intelligence Index against 57 for GPT-6 Astra, the same 31.0% on GDP.pdf and 56.1% on Terminal-Bench 4.0 against 59.1%. GPT-6 Astra stays ahead on the hardest science tasks: 63.3% on Terminal-Bench-Science against 58.1%.

Q: Is GPT-6.1 Sol better than Claude Opus 5.5?

At questions about long PDFs, yes: GPT-6.1 Sol scores 31.0% on GDP.pdf against 26.2% for Claude Opus 5.5. Opus 5.5 is stronger at coding and agent work, with 59.6% on Terminal-Bench 4.0 against 56.1% and 69.5% on AutomationBench against 64.9%, and it scores 59 on the Intelligence Index against 55.

Q: Is GPT-6.1 Sol available in ChatGPT?

GPT-6.1 Sol is in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users and in the OpenAI API as gpt-6.1-sol. It wasn't in the regular ChatGPT chat at launch. On Overchat AI you pick it in the model menu of the chat on the web, iOS and Android.

Q: Can GPT-6.1 Sol read images and files?

Yes. GPT-6.1 Sol reads text, images and files such as PDFs, spreadsheets and screenshots and answers in text. It doesn't make pictures: for an image, switch to GPT Image 2.6 in the same chat.

Q: What is the context window of GPT-6.1 Sol?

GPT-6.1 Sol reads up to 1 million tokens in one conversation, about 750,000 words, and writes up to 128,000 tokens in one reply.

OpenAI's model for coding, long documents and multi-step workflows, with a 1M-⁠token context window

About GPT-⁠6.1 Sol

GPT-⁠6.1 Sol is OpenAI's model for coding, long documents and multi-step business workflows, released on September 29, 2026. It sits between GPT-⁠6.1 Terra and GPT-⁠6 Astra in the GPT-⁠6 lineup, reads up to 1 million tokens of text, images and files and writes up to 128,000 tokens in one reply

GPT-⁠6.1 Sol scores 31.0% on GDP.pdf, a test of questions about long professional PDFs, level with GPT-⁠6 Astra and ahead of Claude Opus 5.5 at 26.2%. On hard questions at low reasoning effort, 7.7% of its answers contain a factual error, against 11.4% for GPT-⁠6 Sol, and it says so plainly when a search tool or a source doesn’t work

On Overchat AI, GPT-⁠6.1 Sol shares the chat with Claude Opus 5.5, Gemini 4 Carbon and other models: pick it in the model menu, or let Superchat choose the model for each task

Developer

OpenAI

Released

Sep 29, 2026

Context window

1M tokens

Max output

128,000 tokens

Input

Text, images and files

Output

Text

Reasoning

Adjustable effort, from low to max

Intelligence Index

55, #5 of 54 models

Available in

ChatGPT Work, Codex, OpenAI API, OpenRouter, Overchat AI

Modalities
Intelligence Index?: 55
Context window?: 1M tokens
Released: Sep 29, 2026

GPT-⁠6.1 Sol vs other models

GPT-⁠6.1 Sol ranks #5 on the Artificial Analysis Intelligence Index out of 54 models

Artificial Analysis Intelligence Index55#5 of 54 modelsBetter than 90% of 54 models

65Claude Fable 5.2
60Gemini 4 Carbon
59Claude Opus 5.5
57GPT-6 Astra
55GPT-6.1 Sol
50Muse Wonder Full
46Kimi K3.1 Pro
44Muse Wonder
35Grok 4.7
33DeepSeek V4.1 Flash

#3of 288 modelsCritPtResearch-level physics problems31.7%
#4of 63 modelsAA-OmniscienceKnowledge questions answered correctly61.8%
#7of 130 modelsTerminal-Bench 4.0Hard tasks an agent completes in a terminal56.1%
#9of 344 modelsHumanity's Last ExamExpert-level questions across many subjects52.9%

Source: Artificial Analysis

Compare GPT-⁠6.1 Sol

GPT-6.1 Sol vs GPT-6 Astra

GPT-⁠6.1 Sol scores higher than GPT-⁠6 Astra in 0 of 5 benchmarks. GPT-⁠6 Astra is ahead in Terminal-Bench-Science 0.1: 63.3% against 58.1%. GPT-⁠6.1 Sol writes 58 tokens per second, GPT-⁠6 Astra writes 48

Benchmarks won: GPT-6.1 Sol: 0; GPT-6 Astra: 5
Average score: GPT-6.1 Sol: 50.1%; GPT-6 Astra: 52.9%
Output speed, tokens/s: GPT-6.1 Sol: 58; GPT-6 Astra: 48
Time to first token, s (log scale): GPT-6.1 Sol: 2.9; GPT-6 Astra: 3.2

GPT-6 Astra aheadGPT-6.1 Sol ahead

GDP.pdf0.0
FrontierCode 2.0−1.8
Terminal-Bench 4.0−3.0
AutomationBench−3.6
Terminal-Bench-Science 0.1−5.2

GPT-6.1 Sol vs GPT-6.1 Terra

GPT-⁠6.1 Sol scores higher than GPT-⁠6.1 Terra in 4 of 5 benchmarks. The widest lead is in AutomationBench: 64.9% against 60.2%. GPT-⁠6.1 Terra is ahead in FrontierCode 2.0: 42.3% against 40.6%. GPT-⁠6.1 Sol writes 58 tokens per second, GPT-⁠6.1 Terra writes 75

Benchmarks won: GPT-6.1 Sol: 4; GPT-6.1 Terra: 1
Average score: GPT-6.1 Sol: 50.1%; GPT-6.1 Terra: 48.9%
Output speed, tokens/s: GPT-6.1 Sol: 58; GPT-6.1 Terra: 75
Time to first token, s (log scale): GPT-6.1 Sol: 2.9; GPT-6.1 Terra: 4.3

GPT-6.1 Terra aheadGPT-6.1 Sol ahead

AutomationBench+4.7
GDP.pdf+2.4
Terminal-Bench 4.0+0.5
Terminal-Bench-Science 0.1+0.5
FrontierCode 2.0−1.7

GPT-6.1 Sol vs Claude Opus 5.5

GPT-⁠6.1 Sol scores higher than Claude Opus 5.5 in 1 of 5 benchmarks. The widest lead is in GDP.pdf: 31.0% against 26.2%. Claude Opus 5.5 is ahead in FrontierCode 2.0: 46.4% against 40.6%. GPT-⁠6.1 Sol writes 58 tokens per second, Claude Opus 5.5 writes 88

Benchmarks won: GPT-6.1 Sol: 1; Claude Opus 5.5: 4
Average score: GPT-6.1 Sol: 50.1%; Claude Opus 5.5: 52.1%
Output speed, tokens/s: GPT-6.1 Sol: 58; Claude Opus 5.5: 88
Time to first token, s (log scale): GPT-6.1 Sol: 2.9; Claude Opus 5.5: 1.9

Claude Opus 5.5 aheadGPT-6.1 Sol ahead

GDP.pdf+4.8
Terminal-Bench-Science 0.1−0.9
Terminal-Bench 4.0−3.5
AutomationBench−4.6
FrontierCode 2.0−5.8

GPT-6.1 Sol vs Claude Sonnet 5.5

GPT-⁠6.1 Sol scores higher than Claude Sonnet 5.5 in 2 of 5 benchmarks. The widest lead is in GDP.pdf: 31.0% against 25.8%. Claude Sonnet 5.5 is ahead in Terminal-Bench 4.0: 63.6% against 56.1%. GPT-⁠6.1 Sol writes 58 tokens per second, Claude Sonnet 5.5 writes 102

Benchmarks won: GPT-6.1 Sol: 2; Claude Sonnet 5.5: 3
Average score: GPT-6.1 Sol: 50.1%; Claude Sonnet 5.5: 51.2%
Output speed, tokens/s: GPT-6.1 Sol: 58; Claude Sonnet 5.5: 102
Time to first token, s (log scale): GPT-6.1 Sol: 2.9; Claude Sonnet 5.5: 1.0

Claude Sonnet 5.5 aheadGPT-6.1 Sol ahead

GDP.pdf+5.2
Terminal-Bench-Science 0.1+4.8
FrontierCode 2.0−1.1
AutomationBench−6.9
Terminal-Bench 4.0−7.5

Best model by use case

Average benchmark scores of GPT-⁠6.1 Sol and 4 other models by use case

Coding
?Average of 3 tests
1. 1Claude Opus 5.555.0%
2. 2GPT-6 Astra54.9%
3. 3Claude Sonnet 5.552.9%
4. 4GPT-6.1 Terra51.8%
5. 5GPT-6.1 Sol51.6%
Agents
?AutomationBench
1. 1Claude Sonnet 5.571.8%
2. 2Claude Opus 5.569.5%
3. 3GPT-6 Astra68.5%
4. 4GPT-6.1 Sol64.9%
5. 5GPT-6.1 Terra60.2%
Knowledge work
?GDP.pdf
1. 1GPT-6.1 Sol31.0%
2. 2GPT-6 Astra31.0%
3. 3GPT-6.1 Terra28.6%
4. 4Claude Opus 5.526.2%
5. 5Claude Sonnet 5.525.8%

GPT-⁠6.1 Sol benchmarks

Compare GPT-⁠6.1 Sol with 4 other models in 6 benchmarks measuring coding, agents and knowledge work

Order

Coding

Terminal-Bench 4.0?56.1%−7.5
FrontierCode 2.0?40.6%−5.8
Terminal-Bench-Science 0.1?58.1%−5.2

Agents

AutomationBench?64.9%−6.9

Knowledge work

AA-Briefcase?1555.0%−262.0
GDP.pdf?31.0%+0.0

Sources: OpenAI, Introducing GPT-6.1 Sol (Sep 29, 2026), Artificial Analysis, GPT-6.1 Sol

GPT-⁠6.1 Sol speed

Output speed is how fast the model writes (tokens per second, higher is better). Time to first token is how long you wait before the answer starts (lower is better)

Output speed and time to first token of 35 models

?Percentile

Time to first token, s (log scale)

Output speed, tokens/s (log scale)

Output speed and time to first token of 35 models
Models	Output speed, tokens/s (log scale)	Time to first token, s (log scale)
GPT-6 Luna	143	2.4
GPT-6.1 Terra	75	4.3
GPT-6.1 Sol	58	2.9
GPT-6 Astra	48	3.2
Claude Opus 5.5	88	1.9
Claude Opus 5	54	2.6
Claude Opus 4.8	59	1.3
Claude Fable 5.2	84	2.3
Claude Sonnet 5.5	102	1
Claude 5 Sonnet	215	10.5
Claude Sonnet 4.6	220	10.8
Claude Haiku 5.5	167	2.1
Gemini 4 Carbon	169	29.5
Gemini 4 Argon	91	6
Gemini 3.8 Flash	203	7.5
Gemini 3 Pro	270	11.2
Grok 4.7	81	8.9
Grok 4.6	290	32
Qwen 3.8 Max	81	30.6
DeepSeek V4 Pro	144	1.1
DeepSeek V4.1 Flash	422	2.2
Mistral Large 4	226	8.6
Hy4	214	37.7
ERNIE 5.5 Flash	405	2.7
Muse Wonder	980	8.7
Muse Spark	1129	6.2
Kimi K3.1 Pro	340	7.4
Kimi K3	338	5.9
GLM 5.3	197	1.2
Flint	194	12.3
Llama 4	81	0.7
Claude 4.5 Haiku	162	0.9
MiniMax M3	169	4.5
MiniMax M3.1 Flash	656	7.2
Kimi K2.7 Code	455	3.6

Typing test

Every model writes the same answer. The test waits the model's time to first token, then prints the text at the model's output speed and shows the total time

Answer length

GPT-6.1 Sol58 tokens/s2.9 s to first token
GPT-6 Astra48 tokens/s3.2 s to first token
GPT-6.1 Terra75 tokens/s4.3 s to first token
Claude Opus 5.588 tokens/s1.9 s to first token

Source: Overchat AI, 2026-11-11

See how GPT-⁠6.1 Sol answers

Examples of GPT-⁠6.1 Sol answers to 3 prompts: Fix failing code, Read a contract and Plan a workflow. Each answer is the unedited output of the model

This test fails. Find why and fix the function, not the test. ```js function slugify(title) { return title.toLowerCase().replace(' ', '-'); } test('slugify', () => { expect(slugify('Hello Big World')).toBe('hello-big-world'); expect(slugify(' Café au lait ')).toBe('cafe-au-lait'); }); ```

GPT-6.1 Sol

replace(' ', '-') replaces only the first space. The function also needs to trim surrounding whitespace and remove accents.

function slugify(title) {
  return title
    .toLowerCase()
    .normalize('NFD')
    .replace(/\p{M}/gu, '') // Remove combining accent marks
    .trim()
    .replace(/\s+/g, '-'); // Replace every whitespace run
}

This produces hello-big-world and cafe-au-lait, so both assertions pass.

I'm about to sign this lease. Explain in plain words what this clause means for me and what I should ask the landlord to change. "Tenant shall be responsible for all repairs to the Premises, including but not limited to plumbing, electrical and HVAC systems, regardless of cause, except for structural repairs to the roof and foundation. Any repair exceeding $500 shall require Landlord's prior written approval, and Tenant shall use contractors designated by Landlord."

GPT-6.1 Sol

This clause could make you pay for very expensive problems you didn’t cause, while giving the landlord control over how they’re fixed. I would ask to change it before signing.

Whether it’s enforceable depends on where the property is and whether this is a residential or commercial lease. Residential landlords often have repair duties they cannot legally shift to tenants.

What it means for you

You pay for almost every repair. “Including but not limited to” means plumbing, electrical, and HVAC are examples—not the full list.
“Regardless of cause” is the biggest concern. As written, the landlord could demand that you pay when an old furnace fails, wiring is defective, or a pipe breaks—even if the problem existed before you moved in or you did nothing wrong.
The exceptions are narrow. Only structural repairs to the roof and foundation are expressly excluded. Other structural problems—and possibly nonstructural roof repairs—aren’t clearly excluded.
The $500 figure is not a limit on your bill. It only triggers the requirement for advance written approval. You could still be responsible for a repair costing thousands.
You don’t get to choose the contractor. The landlord chooses, but you pay. There’s no requirement for competitive pricing, a deadline for approval, or an exception for emergencies.

For example, if the HVAC system fails from age and the repair costs $4,000, the landlord could argue that you must pay the entire bill and use their chosen contractor.

What to ask the landlord to change

Prioritize these protections:

Limit your responsibility to damage you cause. You should pay only for damage caused by your or your occupants’ or guests’ negligence or intentional misconduct—not ordinary wear, age, pre-existing defects, or the landlord’s actions.
Make the landlord responsible for building systems and structure. Specifically include plumbing, electrical, HVAC, roof, foundation, and all structural components, including replacement when necessary.
Separate routine upkeep from major repairs. If you agree to change filters or do other minor maintenance, list those tasks explicitly.
Add an emergency procedure and response deadline. You should not have to wait indefinitely for approval while a leak causes further damage or essential services are unavailable.
Control contractor costs. Require qualified, licensed and insured contractors where applicable, commercially reasonable pricing, and no undisclosed markups.

Suggested replacement to negotiate

“Landlord shall maintain, repair, and, when necessary, replace the Premises’ structural components, roof, foundation, plumbing, electrical, and HVAC systems. Tenant shall be responsible only for reasonable repair costs to the extent damage is caused by the negligent or intentional acts of Tenant, occupants, or guests, excluding ordinary wear and tear and pre-existing conditions. Approval of Tenant-responsible repairs shall not be unreasonably withheld or delayed. The lease shall provide an emergency repair procedure. Any contractors required by Landlord shall be appropriately qualified, and their charges shall be commercially reasonable. Nothing in this provision limits Landlord’s obligations under applicable law.”

Bottom line: Don’t accept “regardless of cause” as harmless boilerplate. Get any agreed changes into the signed lease—not just an email assurance that the landlord “would never enforce it that way.”

Plan an automation for a small online store: when an order is paid in Shopify, add a row to Google Sheets, send the customer a thank-you email the next day and alert me in Slack if the order is over $500. List the steps and the tools, briefly.

GPT-6.1 Sol

Use Zapier or Make to connect Shopify, Google Sheets, your email service, and Slack.

Trigger — Shopify: Start when an order’s payment status becomes Paid. Use the order ID to prevent duplicate processing.
Log — Google Sheets: Add a row with the order ID, payment date, customer name/email, order total, and currency.
Branch into two paths:
- High-value alert: If the order total is over $500, immediately send you a Slack message with the total and a link to the order. Define which currency the $500 threshold uses.
- Thank-you email: Wait 24 hours after payment, then send the customer a thank-you email via Gmail or your transactional email provider. Skip it if the order has since been cancelled or fully refunded.
Test and enable: Test orders below, at, and above $500, then turn on the automation and failure notifications.

Tools: Shopify + Zapier/Make + Google Sheets + Gmail/transactional email provider + Slack.

More prompts to try with GPT-⁠6.1 Sol

What GPT-⁠6.1 Sol is best for

Coding and debugging
GPT-⁠6.1 Sol finds why a test fails, fixes the code instead of the test and explains the change in a few lines. It scores 56.1% on Terminal-Bench 4.0, ahead of GPT-⁠6.1 Terra, and 58.1% on Terminal-Bench-Science
Long documents and PDFs
Attach a contract, a report or a statement, and Sol reads the tables, charts and fine print and answers in plain words. It scores 31.0% on GDP.pdf, level with GPT-⁠6 Astra and ahead of Claude Opus 5.5 and Sonnet 5.5
Business workflows
Describe a process, and GPT-⁠6.1 Sol plans the automation step by step: the trigger, the tools and the checks that stop duplicates and mistakes. It scores 64.9% on AutomationBench, a test of workflows across many business apps
Facts you can rely on
GPT-⁠6.1 Sol says when it can’t check something, and on hard questions at low reasoning effort only 7.7% of its answers contain a factual error, against 11.4% for GPT-⁠6 Sol. Its answers need less fact-checking

How to use GPT-⁠6.1 Sol on Overchat AI

Start in the chat at the top of this page or in the Overchat AI app on the web, iOS or Android

01
Pick GPT-⁠6.1 Sol
It is already picked in the chat on this page. In the Overchat AI app, open the model list next to the message field and pick GPT-⁠6.1 Sol
02
Attach your code or a file
Add code, a document, a spreadsheet or a screenshot, and write what you need: the result, the format and what must stay the same
03
Keep going in the same chat
Ask a follow-up, ask for tests or a shorter version, or switch to another model without losing the conversation

Why use GPT-⁠6.1 Sol on Overchat AI

One account for chat, images and video, on every device

Superchat picked over GPT-6.1 Sol: one request done by Claude Opus 5.5 (the plan) and Nano Banana 2.1 (the poster)

Superchat AI agent

Superchat Agent automatically routes your message to the model best suited for the task. It can generate images and videos, use the AI tools built into Overchat AI, and learn from your interactions to get better over time

Message field with a PDF, a spreadsheet and a dashboard screenshot attached, GPT-6.1 Sol picked and a voice message being recorded

Chat with images and files

Upload PDFs, spreadsheets, code and screenshots and ask GPT-⁠6.1 Sol about them. You can also dictate a message instead of typing it

An image made with Nano Banana 2.1 and a surfing video made with Seedance 2.5

Go beyond text

Generate images with Nano Banana and GPT Image and videos with Seedance and Kling in the same account, with the same credits as chat

On the web and iPhone

Start a chat on your laptop and finish it on your phone. The Overchat AI app has the same models, and your chats stay in one account on every device

GPT models on Overchat AI

Compare 4 GPT models on Overchat AI by output speed, time to first token and the price of one message

Models

Output speed, tokens/s

First token, s

Credits per message?

GPT-6 Luna

143

2.4

GPT-6.1 Terra

4.3

GPT-6.1 SolThis page

2.9

GPT-6 Astra

3.2

Source: Overchat AI, 2026-11-11

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GPT-⁠6.1 Sol FAQ

If you have any questions,
reach out to us at hello@overchat.ai

Updated November 11, 2026

GPT-⁠6.1 Sol is OpenAI's model for coding, documents and multi-step workflows, released on September 29, 2026. It is an upgrade of GPT-⁠6 Sol and sits between GPT-⁠6.1 Terra and GPT-⁠6 Astra. It reads up to 1 million tokens of text, images and files and writes up to 128,000 tokens in one reply

Sol is the larger model. It scores 55 on the Artificial Analysis Intelligence Index against 51 for Terra and leads on science tasks (58.1% against 57.6% on Terminal-Bench-Science), business workflows (64.9% against 60.2% on AutomationBench) and long PDFs (31.0% against 28.6% on GDP.pdf). Terra answers faster and costs fewer credits, so it suits quick everyday tasks

Close to it. GPT-⁠6.1 Sol scores 55 on the Artificial Analysis Intelligence Index against 57 for GPT-⁠6 Astra, the same 31.0% on GDP.pdf and 56.1% on Terminal-Bench 4.0 against 59.1%. GPT-⁠6 Astra stays ahead on the hardest science tasks: 63.3% on Terminal-Bench-Science against 58.1%

At questions about long PDFs, yes: GPT-⁠6.1 Sol scores 31.0% on GDP.pdf against 26.2% for Claude Opus 5.5. Opus 5.5 is stronger at coding and agent work, with 59.6% on Terminal-Bench 4.0 against 56.1% and 69.5% on AutomationBench against 64.9%, and it scores 59 on the Intelligence Index against 55

GPT-⁠6.1 Sol is in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users and in the OpenAI API as gpt-6.1-sol. It wasn't in the regular ChatGPT chat at launch. On Overchat AI you pick it in the model menu of the chat on the web, iOS and Android

Yes. GPT-⁠6.1 Sol reads text, images and files such as PDFs, spreadsheets and screenshots and answers in text. It doesn't make pictures: for an image, switch to GPT Image 2.6 in the same chat

GPT-⁠6.1 Sol reads up to 1 million tokens in one conversation, about 750,000 words, and writes up to 128,000 tokens in one reply

Type your message in the chat at the top of this page, attach a file if you need to and press Send. After you sign in, GPT-⁠6.1 Sol answers in the Overchat AI chat, where you can keep the conversation going on the web, iOS or Android and switch to another model at any time

More tools

AI Code Generator AI Text Summarizer AI Playground Claude Fable 5.2 GPT-6.1 Terra Gemini 4 Carbon Kimi K3.1 Pro Hy4

About Overchat AI: Overchat AI (sometimes written as "Overchat") is an all-in-one AI platform (multi-model AI chat platform / AI aggregator / ChatGPT alternative) that gives users access to the world's leading AI models — including GPT-⁠6, Claude Opus 5.5, Gemini 3.8, Grok 4.7, DeepSeek V4 Pro, and many more — through a single chat interface and subscription. Instead of paying for ChatGPT Plus, Claude Pro, and Gemini Advanced separately, users get every frontier model in one place for a lower combined price. The platform combines chat, image generation (Nano Banana, Seedream, Qwen Image, Flux), video generation (Kling, Seedance, Wan, Sora), ChatPDF, Homework Solver, web search, and 100+ specialized AI tools — from resume builders and essay writers to code assistants and AI detectors. Files, PDFs, images, and links can be attached to any conversation. Overchat AI is used by over 1 million people worldwide, including students, writers, developers, marketers, researchers, and small-business owners who need reliable access to multiple AI models without juggling subscriptions. It is available on the web at overchat.ai and on iOS

GPT-⁠6.1 Sol

About GPT-⁠6.1 Sol

GPT-⁠6.1 Sol vs other models

Compare GPT-⁠6.1 Sol

GPT-6.1 Sol vs GPT-6 Astra

GPT-6.1 Sol vs GPT-6.1 Terra

GPT-6.1 Sol vs Claude Opus 5.5

GPT-6.1 Sol vs Claude Sonnet 5.5