gpt-4

Overview. GPT-4 is OpenAI's proprietary, closed-weight large language model, released in March 2023. It's a full-scale instruction-tuned model built for complex professional writing, reasoning, and tool-calling workflows, accessed through OpenAI's Chat Completions API. Developers reach for it when they need a general-purpose assistant with a long track record in production rather than the newest architecture.

Key strengths. GPT-4 was originally designed as a professional-grade writing and reasoning assistant, and remains capable on writing and communication-oriented tasks. It supports tool calling, letting it participate in workflows that invoke external functions. Its Artificial Analysis coding index (13.1) trails the higher-scoring GPT-4.1-mini variant (20.2), though it remains ahead of the smaller GPT-4.1-nano (11.1), so it is not the strongest choice for code-heavy tasks even though it remains capable of general-purpose reasoning and complex instructions.

When to use it. Use GPT-4 for complex professional writing, drafting, and reasoning tasks where an interactive, few-second response time is acceptable. It fits workflows that need basic tool-calling support but don't require parallel tool calls, since that capability arrived in later OpenAI releases. It's a reasonable default for general assistant use cases that don't hinge on the newest benchmark performance or multimodal input.

Limitations. The context window is limited to 8,191 tokens with a 4,096-token max output, small by current standards, and the training data cuts off in September 2021. GPT-4 is text-only, with no vision, audio, or document understanding, and it lacks the parallel tool-calling support found in newer OpenAI models. Within its own family, later GPT-4.1-series models measurably outperform it on quality benchmarks.

Sovereignty note. GPT-4 is created by OpenAI, a US company, and its inference is subject to US CLOUD Act exposure. It is not offered as a Sovereign, EU-resident option; data residency depends on how the endpoint is configured for a given deployment.