Private LLM

DeepSeek-R1 is a text generation model developed by DeepSeek, a Chinese AI company. It is a reasoning-focused model that generates a Chain of Thought (CoT) before producing a final answer, a technique designed to improve accuracy on multi-step problems. The model was trained through late 2024 and supports a context window of 64,000 tokens. DeepSeek released the model weights publicly, making it available for local deployment and research use.

GPT-5.4 is a text generation model developed by OpenAI, released in March 2026 as their flagship model for professional and enterprise use. It is available in three variants — standard, Thinking, and Pro — and features a context window of 1 million tokens, the largest OpenAI has offered. The model is designed not only to plan complex tasks but to complete them reliably, with built-in computer use capabilities for orchestrating multi-step agentic workflows.

GPT-5.4 Pro is a text generation model developed by OpenAI, released in March 2026 as part of the GPT-5.4 family. It is one of three variants in that family — alongside the standard GPT-5.4 and GPT-5.4 Thinking — and is specifically optimized for deep analytical work through multi-path reasoning evaluation. The model supports a context window of 1 million tokens, the largest OpenAI has offered, enabling it to process extensive documents, codebases, and multi-step workflows within a single session.

OpenAI's most capable and efficient frontier model for professional work, combining powerful reasoning with reliable agentic execution at scale.

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.