Analysis Summary
OpenAI's GPT-5.6 Sol is a high-capability model for reasoning, software work, and tool-driven tasks. Its supplied intelligence and coding results are strong, and its agentic result complements them. Vision, function calling, and a 1.05M-token context extend its usefulness to multimodal analysis, long documents, and large codebases.
For client workflows, Sol is a strong candidate for complex coding assistance, agentic processes, and work where a single model must handle both text and images. The listed price, $2 per million input tokens and $10 per million output tokens, makes it a premium choice rather than a default for bulk content. Adopt it where reasoning depth and context capacity can reduce manual work, and route routine calls to a lower-cost model. Validate tool execution against the team's production integrations.
Assessed September 23, 2026
Editorial notes
GPT-5.6 Sol combines excellent reasoning and coding with strong agentic capability, vision, tool calling, and a 1M-token context; premium pricing favors high-value workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Sol combines excellent reasoning and coding with strong agentic capability, vision, tool calling, and a 1M-token context; premium pricing favors high-value workflows.
How OpenAI: GPT-5.6 Sol compares
OpenAI: GPT-5.6 Sol ranks #9 of 446 AI models we track for overall intelligence, #2 of 211 for coding, #12 of 194 for agentic tasks. 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 19% 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.
Strongest on technical. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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-5.6 Sol cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 806 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.6 Sol for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.6 Sol
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks..
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<a href="https://designforonline.com/ai-models/openai-gpt-5-6-sol/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-6-sol&theme=dark" alt="OpenAI: GPT-5.6 Sol, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/openai-gpt-5-6-sol/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-6-sol&theme=light" alt="OpenAI: GPT-5.6 Sol, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about OpenAI: GPT-5.6 Sol
How much does OpenAI: GPT-5.6 Sol cost?
OpenAI: GPT-5.6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-5.6 Sol?
OpenAI: GPT-5.6 Sol has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.6 Sol good for coding?
On our coding benchmark index, OpenAI: GPT-5.6 Sol ranks #2 of 211 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.6 Sol do?
OpenAI: GPT-5.6 Sol supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.6 Sol?
OpenAI: GPT-5.6 Sol is developed by OpenAI and was released on July 9, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: September 24, 2026 9:44 am