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OpenAI

OpenAI: GPT-6.1 Sol

openai/gpt-6.1-sol

Try GPT-6.1 Sol for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "openai/gpt-6.1-sol"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "openai/gpt-6.1-sol"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

GPT-6.1 Sol is OpenAI's mid-tier model in the GPT-6 family, released September 29, 2026 as an update to GPT-6 Sol. It sits below the flagship GPT-6 Astra, takes text and image input, supports tool calling, and has a 1,050,000-token context window with 128,000 max output tokens.

Pricing is unchanged from GPT-6 Sol at $2 per million input tokens and $10 per million output tokens, while scores are higher. It reaches 75.2% on DeepSWE 1.1 (68.8% for GPT-6 Sol), 71.4% on OSWorld 2.0 (64.4%), and 32.0% on GDP.pdf (28.0%). Its factual error rate at low reasoning effort fell from 11.4% to 7.7%.

In one third-party comparison table, GPT-6 Astra scores 74.8% on DeepSWE and 73.5% on OSWorld at roughly five times the price. GPT-6.1 Sol suits coding agents, computer use, document question answering, and workflow automation where cost per task matters.

Context Window 1M

tokens

Max Output 128K

tokens

Input Cost $2

per million tokens

Output Cost $10

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Apr 30, 2026

 

Release Date Sep 29, 2026

 

Output Speed 88

tokens / sec

Latency 107.20s

time to first token

Try GPT-6.1 Sol for free

Try GPT-6.1 Sol instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat openai/gpt-6.1-sol
OpenAI
Chat with GPT-6.1 Sol
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Benchmarks

How GPT-6.1 Sol performs on standard evaluations.

Artificial Analysis
Intelligence Index
51.8
Better than 98% of tracked models
BenchmarkScore
Humanity's Last Exam Cross-domain reasoning
52.9%
SciCode Scientific programming
54.2%
LCR Long-context reasoning
83.0%

Scores sourced from Artificial Analysis.

Find other OpenAI models →

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GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is OpenAI's higher-effort configuration of GPT-6.1 Sol, the mid-tier model in the GPT-6 family. Based on how OpenAI handled GPT-6 Sol Pro, it is likely the same underlying model with reasoning mode set to pro, though OpenAI's documentation for the 6.1 release does not confirm this. It has a 1,050,000-token context window and 128,000 max output tokens, at $2 per million input tokens and $10 per million output tokens. Supported parameters include reasoning effort, tools, tool choice, structured response formats, seed, and streaming. Sol Pro is intended for complex requests such as agentic coding, computer use, and workflow automation, where answer quality matters more than latency. We found no published benchmarks for the Pro configuration itself.

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GPT-6 Sol

GPT-6 Sol is OpenAI's mid-tier model in the GPT-6 family, released September 22, 2026 as a faster, cheaper counterpart to the flagship GPT-6 Astra, built on the same training methods. OpenAI positions it for complex development work that developers run repeatedly, such as building features, reviewing code, debugging, and analyzing data. OpenAI reports Sol scoring 68.8% on the DeepSWE 1.1 coding benchmark, 60.5% on OSWorld 2.0 for computer use at xhigh effort, and 56.4% on Agents' Last Exam, a test of professional work across 55 sub-industries. The company says Sol makes about half as many factual errors as GPT-5.6 Sol, approaching Astra-level reliability at a lower cost. At $2 per million input tokens and $10 per million output tokens, half of GPT-5.6 Sol's rate, Sol matches Claude Sonnet 5's standard pricing, though no published benchmark compares the two models directly.

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GPT-6 Sol Pro

GPT-6 Sol Pro is OpenAI's higher-effort configuration of GPT-6 Sol, the mid-tier model in the GPT-6 family released September 22, 2026 alongside the flagship GPT-6 Astra. Following the pattern OpenAI used for GPT-5.6 Sol Pro and GPT-6 Astra Pro, it runs the same underlying Sol model with reasoning effort set to pro rather than a separate, larger checkpoint, which is why it carries identical pricing to base Sol. At $2 per million input tokens and $10 per million output tokens, it shares Sol's 1,050,000-token context window and 128,000 max output tokens, along with function calling and adjustable reasoning effort. Sol Pro suits complex development work, coding, computer use, and data analysis where response quality on harder requests matters more than shaving cost or latency.

Frequently Asked Questions

How do I use GPT-6.1 Sol?

You can access GPT-6.1 Sol by OpenAI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Can I try GPT-6.1 Sol for free?

GPT-6.1 Sol is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the GPT-6.1 Sol API free for developers?

GPT-6.1 Sol is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for GPT-6.1 Sol?
GPT-6.1 Sol costs $2 per 1M input tokens and $10 per 1M output tokens.
Price per 1M tokens
Input$2
Output$10
Who created GPT-6.1 Sol?

GPT-6.1 Sol was created by OpenAI and released on Sep 29, 2026.

What is the context window of GPT-6.1 Sol?

GPT-6.1 Sol supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,100 pages of text.

What is the max output length of GPT-6.1 Sol?

GPT-6.1 Sol can generate up to 128K tokens in a single response.

What is the knowledge cutoff of GPT-6.1 Sol?

GPT-6.1 Sol has a knowledge cutoff date of Apr 30, 2026. This means the model was trained on data available up to that date.

What types of input can GPT-6.1 Sol process?

GPT-6.1 Sol accepts the following input types: text, image. It produces: text.

Does GPT-6.1 Sol support tool use (function calling)?

Yes, GPT-6.1 Sol supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does GPT-6.1 Sol perform on benchmarks?

GPT-6.1 Sol scores 51.8 on the Artificial Analysis Intelligence Index, outperforming 98% of tracked models.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the GPT-6.1 Sol API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add GPT-6.1 Sol to your app for free

Developers can integrate GPT-6.1 Sol for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works