Обзор GPT 5.5

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.