Choosing an LLM API for News Publishing
News publishers deploying AI tools face a critical infrastructure decision: which LLM API provider to use for core tasks including fact-checking, document analysis, content generation, and search. The major providers — OpenAI, Anthropic (Claude), and Google (Gemini) — differ meaningfully in context window size, reasoning depth, real-time information access, data policies, pricing, and rate limits. Understanding these differences is essential for making architecturally sound decisions that will be expensive to reverse once they are embedded in production systems.
OpenAI (GPT-4o and o3)
OpenAI remains the most widely deployed LLM API for journalism applications. GPT-4o offers: 128,000 token context window (approximately 90,000 words); native function/tool calling for agent workflows; multimodal support (text, image, audio); and an extensive ecosystem of fine-tuning, batch processing, and enterprise deployment options. GPT-4o's strength for journalism is broad factual knowledge, strong instruction-following, and reliable tool calling for agent architectures.
OpenAI's data handling: by default, API inputs are not used for training. Enterprise agreements provide additional data retention and handling commitments. Pricing as of 2025: $5/million input tokens and $15/million output tokens for GPT-4o; significantly lower for GPT-4o-mini for routine tasks.
Anthropic (Claude 3.5 Sonnet)
Anthropic's Claude 3.5 Sonnet is the strongest LLM API for long-form document analysis, with a 200,000-token context window (approximately 140,000 words). This is critical for journalism use cases involving entire reports, lengthy court documents, or research papers that exceed GPT-4o's context limit. Claude also demonstrates notably strong performance on nuanced claim evaluation and complex reasoning tasks. Pricing: $3/million input tokens and $15/million output tokens.
Google Gemini (1.5 Pro and 2.5 Pro)
Google Gemini 1.5/2.5 Pro offers the largest context window of the major commercial APIs — up to 1 million tokens (approximately 750,000 words) in the standard tier and 2 million tokens in extended configurations. For newsrooms working with large document corpora, this enables entire book-length documents to be processed in a single API call. Gemini also benefits from Google Search grounding, which can be enabled to provide real-time web search citations. Pricing is competitive with OpenAI at $7/million input tokens and $21/million output tokens for Gemini 1.5 Pro.
Data Policy Considerations for Journalism
For newsrooms handling sensitive source information or confidential investigation materials, the data processing policies of LLM API providers are a critical compliance consideration. All three major providers commit to not training on API inputs by default, but their data residency options, retention periods, and responses to legal demands differ. For the most sensitive journalism applications, on-premise open-source LLMs (Llama 3, Mistral) offer the strongest data isolation guarantees.