GPT-6.1 Sol Pro

Overview

GPT-6.1 Sol Pro is an OpenAI model served with its reasoning mode set to pro. It shares its underlying model with GPT-6.1 Sol; the distinction described here is the mode, which is intended to produce higher-quality responses on complex tasks. That setting has a material cost implication: pro mode can spend far more, so teams should account for usage rather than treating the two model listings as interchangeable at the same price.

The model accepts text, images and files, and produces text. It supports reasoning, vision and tools. Its 1,050,000-token context window and maximum output of 128,000 tokens give it room for lengthy input and substantial responses, though the actual value of that capacity depends on the workload and budget.

GPT-6.1 Sol Pro was released on September 29, 2026. Its model identifier is openai/gpt-6.1-sol-pro. Builders comparing it with other OpenAI options can browse OpenAI models, while those selecting by capability can also consider reasoning models and vision language models.

Key features

Pro reasoning mode

The central differentiator is the `pro` reasoning mode. It is positioned for complex tasks where response quality is the priority, with the trade-off that it may use substantially more resources. The available facts do not specify a separate reasoning budget or a fixed multiplier, so teams should not assume a predictable increase in token use for every request.

Broad input and long context

Inputs include text, image and file content, while the listed output modality is text. The 1,050,000-token context window is a notable fit for workloads that need to supply a large amount of context in one request. A maximum output of 128,000 tokens supports long responses, subject to the practical demands of the task and its output cost.

Tools and vision

Tool support and vision are both listed. These make the model relevant to applications that combine model reasoning with tool use or image inputs, although no specific tools, image limits or supported file formats are specified here.

Pricing

Pricing is USD $2 per 1 million input tokens and USD $10 per 1 million output tokens. Output tokens cost five times as much as input tokens at the listed rates. Because pro mode can spend far more, token rates alone do not settle the cost comparison: teams should estimate both input and output volume for their own task mix.

For workloads that do not need the pro setting, GPT-6.1 Sol is the relevant same-underlying-model alternative to evaluate. The facts here do not provide its price, so a direct price comparison is not possible.

Platforms

GPT-6.1 Sol Pro is listed under OpenAI, with the model id openai/gpt-6.1-sol-pro. The supplied details identify its input types, output modality, context capacity, reasoning, vision and tool support, but do not specify SDKs, deployment environments, API compatibility details or platform-specific integrations. Teams should confirm those operational requirements before choosing it for an existing stack.

Who it's for

This model is a candidate for teams whose tasks are complex enough to justify a pro reasoning mode and whose applications can make use of text, image or file inputs, tool support, or a large context window. Its substantial output capacity may also matter for workloads requiring lengthy generated text.

It is a less obvious default when requests are routine, cost sensitivity is high, or output volume is large. The listed output rate is higher than the input rate, and pro mode may spend substantially more, making budget controls and request-level cost expectations important considerations.

Pros and cons

Pros

• Pro reasoning mode is specifically intended to improve response quality on complex tasks.
• Supports text, image and file inputs, plus vision and tools.
• A 1,050,000-token context window and 128,000-token maximum output accommodate large inputs and long responses.
• Clear listed input and output rates make token pricing explicit.

Cons

• Pro mode can spend far more, and no fixed usage multiplier is specified.
• Output tokens cost USD $10 per 1 million, compared with USD $2 per 1 million input tokens.
• The available details do not identify particular tools, file formats, deployment options or integration guarantees.

Alternatives

GPT-6.1 Sol is the closest alternative because it shares the underlying model without the pro-mode distinction described here. Other listed options include GPT-6 Luna, GPT-6 Luna Pro, GPT-6 Sol and GPT-6 Sol Pro. Batch variants are also listed: GPT-6 Luna (batch), GPT-6 Luna Pro (batch) and GPT-6 Sol (batch). The supplied facts do not provide comparative prices or capabilities for these alternatives.

For browsing by release recency, see newest models; for context capacity, see longest-context models; and for tool support, see models with tool calling.

Verdict

GPT-6.1 Sol Pro is defined by a focused trade: the same underlying model as GPT-6.1 Sol, served in a mode intended for stronger results on complex tasks, with potentially much greater spending. Its broad input support, tool and vision capabilities, million-token context and long output limit make it a capable fit on paper for demanding applications. The case for choosing it depends on whether those workloads benefit enough from pro mode to justify the listed token prices and potentially higher usage. Teams with simpler requests or tighter cost limits should compare the standard GPT-6.1 Sol option before making pro mode their default.