Analysis Summary
GPT-5.6 Sol is OpenAI's benchmarked flagship in this family, with an intelligence index of 60.9, coding index of 77.4, and agentic index of 57.8. It supports tool use, function calling, vision, and text, image, and file inputs across a 1.05M token context window. The combination covers advanced reasoning, software engineering, and multi-step application workflows.
It is a strong lead model for autonomous coding agents, complex client analysis, long-document work, SEO strategy, and customer-facing content where precision matters. Multimodal input allows teams to handle visual briefs and files without separate model routing. The main business constraint is cost, particularly when output volume is high.
Put Sol at the centre of high-value client workflows and use a cheaper model for predictable bulk tasks. Its capability profile supports direct deployment where tool reliability and answer quality are central requirements.
Assessed August 23, 2026
Editorial notes
GPT-5.6 Sol delivers frontier reasoning and coding, strong agentic performance, multimodal input, tool calling, and a 1.05M token context window. Its premium pricing suits high-stakes work where accuracy and workflow reliability outweigh throughput cost.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Sol delivers frontier reasoning and coding, strong agentic performance, multimodal input, tool calling, and a 1.05M token context window. Its premium pricing suits high-stakes work where accuracy and workflow reliability outweigh throughput cost.
How OpenAI: GPT-5.6 Sol compares
OpenAI: GPT-5.6 Sol ranks #5 of 432 AI models we track for overall intelligence, #3 of 205 for coding, #12 of 187 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 18% 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 business fit. 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 743 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 #1 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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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 #3 of 205 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 2, 2026 11:59 am