OpenAI: GPT-6 Sol
Analysis Summary
OpenAI's GPT-6 Sol has strong measured reasoning results and is listed with a context window of about one million tokens, image and file input, tool use, and function calling. These features make it a versatile option for work that combines long documents, visual material, and actions through connected tools.
For agency workflows, it is a candidate for complex research, document analysis, tool-assisted operations, and client-facing drafting that benefits from strong reasoning. The large context can reduce the need to split lengthy source material, though teams should still verify factual claims and tool outcomes. No coding or agentic benchmark details are provided in this listing, so those tasks merit direct evaluation.
Its listed prices are higher than the batch and Flash options, making it better suited to higher-stakes tasks than routine high-volume calls. Pair it with a lower-cost model for simpler work.
Assessed September 23, 2026
Editorial notes
GPT-6 Sol combines strong measured reasoning with a one-million-token context, image and file input, and tool and function calling. Its listed prices favor high-value work over routine bulk traffic.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-6 Sol combines strong measured reasoning with a one-million-token context, image and file input, and tool and function calling. Its listed prices favor high-value work over routine bulk traffic.
Benchmarks
Artificial Analysis data refreshed Sep 24, 2026. Arena ratings from the Sep 13, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for OpenAI: GPT-6 Sol yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
This model was released recently. Benchmark figures are preliminary and are likely to be updated as independent testing is finalised.
How OpenAI: GPT-6 Sol compares
OpenAI: GPT-6 Sol ranks #7 of 428 AI models we track for overall intelligence. Its 1.1M-token context window is larger than 98% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $10.00 | $0.010000 |
What would OpenAI: GPT-6 Sol cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-6 Sol for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-6 Sol
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional..
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Frequently asked questions about OpenAI: GPT-6 Sol
How much does OpenAI: GPT-6 Sol cost?
OpenAI: GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-6 Sol?
OpenAI: GPT-6 Sol has a context window of 1,050,000 tokens (1.1M).
What can OpenAI: GPT-6 Sol do?
OpenAI: GPT-6 Sol supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-6 Sol?
OpenAI: GPT-6 Sol is developed by OpenAI and was released on September 22, 2026.