GPT 5.5 is OpenAI's flagship large language model, built for complex agentic tasks, multi-step workflows, and general intelligence across various modalities.
Why it matters
Stork’s verdict on GPT 5.5
GPT 5.5 reviewed by Stork AI · stork.ai/en/gpt-5-5
Y Combinator, Microsoft, Khosla Ventures
overview
GPT 5.5 is a large language model tool developed by OpenAI that enables developers, businesses, and researchers to perform complex agentic tasks, multi-step workflows, and general intelligence across various modalities. It represents a significant advancement over its predecessor, GPT-5.4, with enhanced capabilities in planning, tool use, and error recovery.
features
GPT 5.5 incorporates advanced architectural designs to facilitate complex reasoning, multi-step task execution, and robust multimodal processing. Its feature set is engineered for high-stakes professional applications requiring precision and autonomous operation.
use cases
GPT 5.5 is primarily targeted at professionals and organizations requiring a highly capable AI for demanding, complex workloads. Its design supports a range of applications from advanced software engineering to deep scientific inquiry.
pricing
GPT 5.5 is available through OpenAI's API and via paid ChatGPT subscription plans. GPT-5.5 Instant is accessible to free-tier ChatGPT users. API pricing is usage-based, calculated per million tokens.
Similar Tools
GPT 5.5 is positioned as OpenAI's frontier model, designed for complex professional workloads and demonstrating superior performance in specific benchmarks against key competitors in the large language model market.
Excels in complex reasoning, coding, and knowledge work, with a strong focus on safety and a large context window, often reaching 1 million tokens.
Claude Opus models, like GPT 5.5, are designed for frontier AI tasks and multimodal processing. Claude Opus 4.7 offers a 1 million token context window at standard pricing and is noted for strong performance in advanced coding and multi-tool orchestration, while GPT-5.5 shows strengths in terminal-first agentic workflows and certain benchmarks. Pricing for Opus 4.7 is $5 per million input tokens and $25 per million output tokens, comparable to GPT-5.5's reported $5/$30 per million tokens.
Natively multimodal, designed to process and understand various data types including text, images, audio, and video, with deep integration into Google's ecosystem.
Gemini Ultra and its successors (like 1.5 Pro, 3.1 Pro) are highly competitive with GPT 5.5 in multimodal understanding and complex reasoning. Gemini Advanced offers a freemium model with a paid tier at $19.99/month for access to its most advanced models and Google Workspace integration, similar to GPT 5.5's freemium model with paid tiers. Gemini 3.1 Pro is noted for its long context window (up to 2M tokens) and aggressive pricing for processing large documents.
Offers top-tier reasoning and multimodal capabilities with a focus on efficiency and competitive pricing, particularly for enterprise use cases.
Mistral Large 3 provides strong performance in reasoning and multimodal tasks, often at a more cost-efficient price point compared to models like GPT-5.5. While GPT-5.5 is noted for complex agentic and coding workloads, Mistral Large 3 also supports vision, function calling, and structured output. Mistral Large 3 pricing is $0.50 per million input tokens and $1.50 per million output tokens, making it significantly cheaper than GPT-5.5's reported $5/$30.
An open-source, open-weight large language model that provides flexibility for customization and private deployments, with competitive performance.
Llama 3.1, while open-source and offering cost-efficiency and customization, competes with GPT 5.5 in performance, particularly in mathematical reasoning and coding tasks. Unlike GPT 5.5's proprietary access, Llama 3.1 can be self-hosted or accessed via various API providers, with pricing often being more cost-effective for high throughput.
AI Reputation Report
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