Is Claude Haiku 4.5 or GPT-5 mini cheaper?

GPT-5 mini is cheaper at $0.25 input and $2.00 output per 1M tokens, compared to Claude Haiku 4.5 at $1.00 input and $5.00 output. GPT-5 mini is 4x cheaper on input and 2.5x cheaper on output.

Which has a larger context window: Haiku 4.5 or GPT-5 mini?

GPT-5 mini has a larger context window at 272K tokens compared to Haiku 4.5's 200K tokens. That's a 36% larger context window, meaning GPT-5 mini can handle longer documents and conversations without truncating.

What's the quality difference between Haiku 4.5 and GPT-5 mini?

Both are budget-tier models designed for speed and cost efficiency rather than maximum reasoning depth. Claude Haiku 4.5 is Anthropic's fastest and cheapest model, optimized for chatbot interactions, classification, and simple tasks. GPT-5 mini is OpenAI's budget offering, similarly positioned for high-throughput, cost-sensitive applications. Quality varies by task — Haiku 4.5 tends to be strong on instruction-following, while GPT-5 mini handles multi-turn conversations well.

Which is faster: Haiku 4.5 or GPT-5 mini?

Both models prioritize speed and low latency as budget-tier offerings. In real-world usage, the difference is often marginal and depends more on your API configuration, region, and current load than on the model itself. Both deliver sub-second response times for typical prompts.

Which is better for a chatbot: Haiku 4.5 or GPT-5 mini?

Both are excellent chatbot choices. GPT-5 mini is 4x cheaper on input, making it more cost-effective for high-volume chat applications. However, Haiku 4.5 may produce more natural-sounding conversational responses for some use cases. If cost is the primary driver, GPT-5 mini wins. If you value Anthropic's conversational style, Haiku 4.5 is worth the premium.

How much can I save with GPT-5 mini over Haiku 4.5?

With 5,000 requests/day at 800 input and 200 output tokens, Haiku 4.5 costs $210/month while GPT-5 mini costs $60/month — a savings of $150/month or $1,800/year. The savings increase with higher volume, making GPT-5 mini the clear winner for budget-conscious high-throughput applications.