Analysis Summary
GPT-5.5 is OpenAI's current flagship, sitting at the top of the intelligence and coding rankings across the full model landscape. It pairs world-class reasoning with exceptional coding performance, a 77-point agentic index, and full multimodal support including vision, tool use, and function calling. The 1.05M token context window means it can hold entire codebases or large document sets in a single session.
For businesses, this makes it a strong fit for autonomous software engineering agents, complex multi-step workflows, long-document analysis, and any client-facing application where answer quality is critical. The combination of vision, function calling, and agentic reliability means teams can consolidate a wide range of tasks on a single model rather than managing multiple specialised tools.
At $5 input and $30 output per million tokens, it is priced at the premium end. The cost is justified for high-value, high-complexity tasks, but teams running high-volume or routine workloads should pair it with a cheaper model. For organisations that need the best available reasoning and coding in a single API, this is the current benchmark.
Assessed July 10, 2026
Editorial notes
GPT-5.5 from OpenAI leads on reasoning, coding, and agentic performance, with a 1M token context, vision, tool use, and function calling across a broad range of business workloads.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.5 from OpenAI leads on reasoning, coding, and agentic performance, with a 1M token context, vision, tool use, and function calling across a broad range of business workloads.
How OpenAI: GPT-5.5 compares
OpenAI: GPT-5.5 ranks #4 of 393 AI models we track for overall intelligence, #3 of 157 for coding, #96 of 300 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $5.00 per million input tokens it is cheaper than 7% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. 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 āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $5.00 | $0.005000 |
| Output | $30.00 | $0.030000 |
What would OpenAI: GPT-5.5 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.5
GPT-5.5 is OpenAIās frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token..
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<a href="https://designforonline.com/ai-models/openai-gpt-5-5-xhigh/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-5-xhigh&theme=dark" alt="OpenAI: GPT-5.5, ranked #8 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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Frequently asked questions about OpenAI: GPT-5.5
How much does OpenAI: GPT-5.5 cost?
OpenAI: GPT-5.5 costs $5.00 per million input tokens and $30.00 per million output tokens.
What is the context window of OpenAI: GPT-5.5?
OpenAI: GPT-5.5 has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.5 good for coding?
On our coding benchmark index, OpenAI: GPT-5.5 ranks #3 of 157 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.5 do?
OpenAI: GPT-5.5 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.5?
OpenAI: GPT-5.5 is developed by OpenAI and was released on April 24, 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: July 19, 2026 8:38 pm