Signal

Anthropic prices Haiku 5.5 at $0.10/1M input and $0.50/1M output tokens for requests up to 100K tokens, and $0.50 and $2.50 above, vs. $1 and $5 for Haiku 4.5

First reported by Thenewstack ·

The signal ●●●○ Compiled by AI from Thenewstack, Techmeme and Yahoo Finance
Why you might care

The cost to run AI applications that use Anthropic's Haiku model is now substantially lower.

What happened

Anthropic has announced pricing for its new Haiku 5.5 model. For requests up to 100,000 tokens, input will cost $0.10 per million tokens and output will cost $0.50 per million tokens. For requests exceeding 100,000 tokens, input is priced at $0.50 per million tokens, and output at $2.50 per million tokens. These prices represent a significant reduction compared to the previous Haiku 4.5 model, which was priced at $1 per million input tokens and $5 per million output tokens. This new pricing structure aims to make the Haiku model more accessible for a wider range of applications and users.

What it means

Anthropic's aggressive pricing for Haiku 5.5 signals a competitive push to capture market share in the LLM space, particularly for applications requiring high throughput and lower latency. The drastic reduction in token costs, especially for output, makes advanced AI capabilities more economically viable for a broader set of developers and businesses. This move pressures competitors to reassess their own pricing strategies, potentially leading to a wider trend of cost reductions across the industry.

This pricing shift directly impacts developers and companies building AI-powered products, enabling them to deploy more sophisticated features without a prohibitive cost increase. Organizations previously constrained by LLM expenses may now find it feasible to integrate these models more deeply into their workflows or launch new AI-driven services. The market should watch for how other major LLM providers respond and whether this triggers a new wave of innovation driven by increased accessibility.

AI-written summary. May contain errors.

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