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OpenAI announces GPT-6.1 Sol

OpenAI describes a new balance of model capability and API cost. This coverage links the vendor's statements; it does not include an independent model evaluation.

GPT-6.1 Sol model artwork
GPT-6.1 Sol model artworkImage source ↗

Sources in the coveragePerformance and quality statements from a vendor are claims unless the coverage cites independent measurements.

Evidence & verification 3 statements

Specifications, source statements and editorial judgement have different scopes. A citation is not an independent performance test.

Standard API input token priceVendor claim

$2 per million tokens

openai.com ↗Source observation date not recorded.
Cached input token priceVendor claim

$0.10 per million tokens

openai.com ↗Source observation date not recorded.
Output token priceVendor claim

$10 per million tokens

openai.com ↗Source observation date not recorded.

Vendor account. OpenAI announced GPT-6.1 Sol, an upgraded version of GPT-6 Sol that nearly matches the intelligence of GPT-6 Astra in coding, professional work, and scientific research tasks, but at one-fifth of Astra's standard input and output token prices. It is aimed at developers and businesses looking for cost-effective, high-performance AI solutions.

Key facts

Fact Detail The source says
Standard API input token price $2 per million tokens “Its standard API prices are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens.”
Cached input token price $0.10 per million tokens “Cached input costs just $0.10 per million tokens —95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing”
Output token price $10 per million tokens “Its standard API prices are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens.”

What happened

The announcement states: GPT-6.1 Sol is priced at $0.10 per million tokens for cached input, which is 95% less than standard input pricing and 50% less than GPT-6 Sol’s cached input pricing. This makes it more affordable for developers to build and run capable agents that reuse context across requests. The model offers substantial improvements over GPT-6 Sol in complex professional tasks, such as writing and debugging code, understanding documents, and executing multi-step business workflows. On the DeepSWE v1.1 evaluation, GPT-6.1 Sol matches GPT-6 Astra's performance at roughly one-fifth of the cost, while outperforming GPT-6 Sol by 6.4 percentage points. Additionally, GPT-6.1 Sol shows significant improvements in alignment evaluations, making it more transparent about its limitations and more reliable in respecting user intent and safety constraints. It is available to Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex, as well as through the OpenAI API.

In the Fathom Layer index

  • ChatGPT — AI Models & Intelligence

FAQ

What tasks does GPT-6.1 Sol excel in?

OpenAI's announcement states: GPT-6.1 Sol excels in complex professional tasks such as writing and debugging code, understanding documents, and executing multi-step business workflows.

How does GPT-6.1 Sol compare to GPT-6 Astra?

OpenAI's announcement states: GPT-6.1 Sol nearly matches GPT-6 Astra's intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input and output token prices.

What is the pricing for GPT-6.1 Sol?

OpenAI's announcement states: GPT-6.1 Sol is priced at $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens.


Source: OpenAI

Editorial perspective

Why it matters

Model selection depends on both task quality and operating cost. The launch gives developers another option to evaluate; benchmark it on representative tasks rather than assuming the announced performance transfers to every workflow.

What changed in this article

Clarified vendor attribution in the summary, narrative and FAQ. Added statement-level source references without claiming an independent evaluation or a new source verification date.

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