GPT-6 Sol AI Evaluation | LayerLens - Benchmark Results & Performance

Model

GPT-6 Sol by OpenAI

Text+image+file->text

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GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 family, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. Trained with similar methods as GPT-6 Astra, it delivers strong performance in complex coding, agentic workflows, computer use, and professional tasks at half the cost of its GPT-5.6 Sol predecessor. It features a 1.05 million-token context window and supports configurable reasoning effort levels (none, low, medium, high, xhigh, max), making it well-suited for demanding, long-horizon tasks where cost efficiency matters.

Evaluations

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Latency

—

Context length

1M

tokens

Cost

$2 · $10

input · output per 1M tokens

Key takeaways

GPT-6 Sol is a cost-efficient, high-end model designed for complex coding, agentic workflows, computer use, and professional tasks, positioned below GPT-6 Astra and above GPT-6 Luna.
The model is a Mixture-of-Experts (MoE) architecture, trained using methods similar to GPT-6 Astra, and features configurable reasoning effort levels (none, low, medium, high, xhigh, max).
It offers strong performance in demanding, long-horizon tasks due to its 1.05 million-token context window and cost efficiency, being half the cost of its predecessor GPT-5.6 Sol.
GPT-6 Sol supports 'text+image+file->text' modality, indicating multimodal capabilities beyond just text, allowing it to process and generate based on various input types.
The model is proprietary, has a substantial context length, and is designed for high-performance applications where cost-effectiveness is a key consideration.

Technical specifications

Context length: 1M tokens
Max output: —
Architecture: MoE
Modalities: text+image+file->text
Parameters: —
Open weights: No
Licence: Proprietary
Regions: USA
Vendor: OpenAI
Provider model key: openai/gpt-6-sol