GPT-6 Sol
At a glance
- Price per 1M tokens (input)
- $2.00
- Price per 1M tokens (output)
- $10.00
- Context
- 922,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified September 26, 2026. Published September 26, 2026.
GPT-6 Sol by OpenAI is designed for developers and enterprise teams building applications that require multimodal understanding and automated workflow integration. It supports image understanding, enabling interpretation of visual inputs alongside text, and tool calling, which allows the model to invoke external functions or APIs to perform actions like retrieving data or executing code. Step-by-step reasoning enhances its ability to break down complex problems into logical sequences, improving accuracy in tasks such as analysis, planning, and decision support. OpenAI's approach emphasizes safety alignment and iterative deployment, aiming to balance capability with responsible use in real-world systems.
Specifications & pricing
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $10.00 |
| Cache read (per 1M tokens) | $0.20 |
| Cache write (per 1M tokens) | $2.50 |
| Context window | 922,000 tokens |
| Max output | 128,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 26, 2026. Official OpenAI pricing.
What GPT-6 Sol would cost on your workload — run it through the cost calculator →
Where to try GPT-6 Sol for free
- OpenAI offers a free chat — ChatGPT (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What types of tasks is GPT-6 Sol best suited for?+
GPT-6 Sol excels in scenarios requiring both visual and linguistic processing, such as analyzing documents with embedded images, interpreting diagrams for technical support, or powering agents that need to interact with software tools to complete multi-step operations like scheduling or data retrieval.
How does tool calling work in this model?+
Tool calling enables GPT-6 Sol to recognize when a user request requires external action, select an appropriate function from a predefined set, and generate a structured call to that function. The model then incorporates the function's output into its reasoning process to produce a final response.
How does GPT-6 Sol differ from earlier models in the GPT series?+
Unlike prior versions focused primarily on text, GPT-6 Sol integrates image understanding as a core capability and advances tool use reliability. It maintains strong language skills while adding the ability to reason over visual content and act through external interfaces, making it more suitable for interactive, real-world applications.
What are current limitations users should be aware of?+
The model may occasionally misinterpret complex or ambiguous visuals, and tool calling depends on the quality and clarity of the provided function definitions. Like all large language models, it can generate incorrect or inconsistent outputs, so critical applications should include human review or validation layers.
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