GPT-5 vs Claude Sonnet 5
Compare GPT-5 and Claude Sonnet 5 side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.
Overview
GPT-5 vs Claude Sonnet 5 Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
OpenAI / GPT-5
maxDescription
OpenAI's earlier frontier model, still capable across coding, reasoning, and agentic work. GPT-5 costs substantially less than OpenAI's newest models and handles a large context window. The catch is age: its knowledge is dated, and OpenAI now labels it a previous-generation model. Worth picking when the task is general, the budget matters, and recency does not.
Anthropic / Claude Sonnet 5
maxDescription
The all-rounder in the Claude family, and a sensible default for most work. Sonnet 5 codes, writes, and analyses across the same ground as the flagship, reads images and documents, and holds the same very large context. It is faster and costs less. It gives up ground only on problems difficult enough to need the flagship.
About
About
Capabilities
Capabilities
Comparison
Why Use GPT-5 and Claude Sonnet 5?
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OpenAI / GPT-5
maxBudget Agentic Coding
OpenAI describes GPT-5 as its previous model for coding, reasoning, and agentic tasks across domains. It still writes, debugs, and reviews code across languages, and runs multi-step engineering work at a fraction of frontier pricing.
Adjustable Reasoning Effort
Reasoning effort runs from minimal through low, medium, and high, so you can trade thinking time against cost per request. Reasoning tokens are supported, so the model works through a problem before it answers.
Room For Long Documents
A large context window, roughly 300,000 words. Enough for long reports, large contracts, and substantial codebases in a single session, though short of the newer frontier models.
Long Outputs At Lower Cost
Produces long responses at a fraction of the price of OpenAI's newest models. Good value on long-form generation where the reasoning demand is modest rather than at the frontier.
Analysis On Older Knowledge
Its training data is dated by current standards, so it is fine for processing text you supply but weaker on recent events, which need live sources rather than the model's own knowledge.
Text And Image Input
Reads text and images in the same prompt, so you can send screenshots, diagrams, charts, or scanned pages alongside your question. Output is text only. OpenAI's documentation does not list audio or video input.
Anthropic / Claude Sonnet 5
maxCoding Assistance
Strong. Writes, debugs, reviews, and explains code across languages. Covers most coding work. Genuinely hard problems are where it starts to show strain.
Reasoning & Problem Solving
Strong. Works through multi-step problems and shows its reasoning. Reliable on anything with a findable answer.
Document & File Understanding
Best-in-class. A one-million-token context window, roughly 750,000 words. Load a full document set and ask questions across it without splitting it up.
Writing & Content Creation
Strong. Emails, reports, articles, documentation. Output that needs editing rather than rewriting, up to 128,000 tokens in a single response.
Research & Analysis
Strong. Compares, summarises, and pulls out what matters across your sources. Reliable on routine analysis.
Multimodal Support
Text and images. Anthropic's documentation lists text and image input for all current Claude models. Audio and video input are not listed. Reads PDFs, spreadsheets, contracts, and code files.
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Compare Responses
See how GPT-5 and Claude Sonnet 5 performs alongside Claude, Gemini, Grok, and other leading AI models.
One Workspace
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Upload Once
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