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Anthropic Releases Claude Haiku 5.5: Deep Price Cuts and Adaptive Reasoning for Agents

Anthropic has launched Claude Haiku 5.5, introducing adaptive reasoning budgets, a 72.4 percent score on OSWorld 2.1, and cutting token pricing by 90 percent.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

AI developer Anthropic officially released its compact model Claude Haiku 5.5 on October 7, 2026, making it available to developers and enterprise customers worldwide. The system launched simultaneously across the native Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Anthropic specifically designed this release for high-volume pipelines and multi-agent systems where numerous small model instances coordinate tasks in parallel.

The most immediate shift comes in the form of aggressive token economics aimed directly at the low-latency model tier. For context windows up to 100,000 tokens, the company charges 0.10 US dollars per one million input tokens and 0.50 US dollars per one million output tokens. This structure marks a 90 percent price reduction compared to its predecessor, Haiku 4.5. The new rate matches OpenAI's GPT-6 Luna pricing dollar for dollar. Beyond the 100,000-token threshold, rates scale to 0.50 US dollars for input and 2.50 US dollars for output per million tokens.

Functionally, Haiku 5.5 introduces dynamically adjustable thinking budgets, labeled as adaptive reasoning effort. Developers can configure compute limits on the fly, allowing the model to return sub-second answers for deterministic tasks while allocating extended chain-of-thought tokens to complex reasoning. This approach removes the need to hard-switch between rigid execution models and heavy reasoning engines. Compute resources automatically scale to match the logical depth of each query.

Benchmark evaluations show significant gains in autonomous environment control. On the OSWorld 2.1 benchmark, which evaluates a model's ability to navigate operating systems and operate graphical desktop interfaces, Haiku 5.5 scored 72.4 percent. Haiku 4.5 achieved only 15.7 percent on the identical benchmark suite. This leap marks substantial progress for autonomous agent workflows requiring direct software tool use.

Alongside the Haiku release, Anthropic restructured operational costs across its broader model portfolio. The company cut cache read costs for Claude Sonnet 5.5 in half. This pricing update benefits multi-tier software architectures where Haiku 5.5 handles high-frequency routing and sub-agent delegation, while cached instances of Sonnet 5.5 process heavy document synthesis.

The release intensifies competition among leading AI providers within the market for high-speed utility models. Enterprises can now run persistent agent clusters with continuous tool invocation without facing prohibitive inference budgets. The broader industry trajectory continues to tilt from raw parameter count toward cost efficiency and operational reliability in continuous production.

What this means for you

For engineering teams, the operational cost of orchestrating sub-agent architectures drops significantly. Haiku 5.5 turns high-frequency tool use and background execution economically feasible, while the dramatic jump on OSWorld 2.1 makes reliable desktop automation accessible at utility prices.

Evidence

Solidly sourced
65/100
  • Anthropic released Claude Haiku 5.5 on October 7, 2026, across the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry.

    verified
  • Haiku 5.5 pricing is set at 0.10 US dollars per million input tokens and 0.50 US dollars per million output tokens up to 100,000 tokens, representing a 90 percent reduction.

    single source
  • On the OSWorld 2.1 benchmark, the model improved from 15.7 percent with Haiku 4.5 to 72.4 percent with Haiku 5.5.

    single source
  • Anthropic simultaneously halved prompt cache read costs for Claude Sonnet 5.5.

    verified

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: October 12, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
2
Verified statements
2 / 4
Evidence score
65Solidly sourced

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