GPT-5 vs Claude Haiku 4.5
Compare GPT-5 and Claude Haiku 4.5 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 Haiku 4.5 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 Haiku 4.5
maxDescription
The fastest model in the Claude family, and the cheapest. Haiku 4.5 handles coding, analysis, and writing at speed, reads images and documents, and can show its reasoning when a task needs it. It holds less context than the larger Claude models, and its knowledge is about a year older. Built for volume and quick turnaround rather than the hardest problems.
About
About
Capabilities
Capabilities
Comparison
Why Use GPT-5 and Claude Haiku 4.5?
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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 Haiku 4.5
maxLower-Cost Coding
Writes, debugs, and explains code across languages at a fraction of the cost of flagship models. Built for routine changes, quick fixes, and high-volume work. Complex refactors are where it reaches its limit.
Fast Reasoning
Extended thinking lets it work through multi-step problems and show its reasoning, without the wait a larger model would cost you. Solid on problems with a clear route to the answer.
Everyday Document Work
A 200,000-token context window, roughly 150,000 words. Enough for long reports, contracts, and code files. Ask questions across a full document without splitting it up.
Quick Writing & Drafting
Emails, summaries, documentation, and short-form content, returned fast. Output runs to 64,000 tokens in a single response, which covers most drafting work.
Everyday Research
Summarises and compares across the sources you give it. Its reliable knowledge cutoff is February 2025, so it knows less about recent events on its own than newer models.
Image & File Understanding
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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Why chat with GPT-5 and Claude Haiku 4.5 on Aymo AI?
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Compare Responses
See how GPT-5 and Claude Haiku 4.5 performs alongside Claude, Gemini, Grok, and other leading AI models.
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