Claude Haiku 4.5 vs GPT-5 Nano
Compare Claude Haiku 4.5 and GPT-5 Nano side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.
Overview
Claude Haiku 4.5 vs GPT-5 Nano Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
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.
OpenAI / GPT-5 Nano
lightDescription
OpenAI's smallest and cheapest GPT-5 model, built for speed above all. GPT-5 Nano is made for summarisation, classification, and other well-defined tasks that run at high volume. It reads text and images, with adjustable reasoning effort. Reasoning depth is shallow by design and its knowledge is dated. The trade is cost: it is among the cheapest models in the catalog.
About
About
Capabilities
Capabilities
Comparison
Why Use Claude Haiku 4.5 and GPT-5 Nano?
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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.
OpenAI / GPT-5 Nano
lightCoding Sub-Tasks
Suited to small, well-scoped coding jobs and to acting as a fast sub-agent inside a larger system, rather than tackling whole problems. Reasoning depth is limited, so keep the scope tight.
Adjustable Reasoning Effort
Reasoning effort runs from minimal through low, medium, and high. Even at higher effort it is a shallow reasoner by design, so it suits speed-sensitive work rather than hard multi-step problems.
Room For Long Documents
A large context window, enough to summarise long reports or classify big batches of text in a single pass without splitting the input into separate requests.
Summarisation And Classification
OpenAI names summarisation and classification as its core uses. Built to process high volumes of text quickly and cheaply rather than to produce polished long-form writing.
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, so you can send screenshots or scanned pages alongside your prompt. Output is text only. OpenAI states audio and video are not supported.
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Why chat with Claude Haiku 4.5 and GPT-5 Nano on Aymo AI?
Aymo gives you more than access to Claude Haiku 4.5 and GPT-5 Nano—it provides a complete multi-model AI workspace designed for productivity.
Compare Responses
See how Claude Haiku 4.5 and GPT-5 Nano performs alongside Claude, Gemini, Grok, and other leading AI models.
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