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ANTHROPIC · MODEL RELEASE TRACKER
Claude Haiku 5.5
Claude Haiku 5.5 is an announced upcoming version of Anthropic's Haiku model, described as the company's smallest model and intended for high-throughput, low-cost use cases; Anthropic said it will be released in the coming weeks but gave no firm date.CURRENT SNAPSHOT1/5 DIMENSIONS WITH DATA
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RELEASE TIMELINE
Published, source-backed release events only.
Anthropic launches Claude Haiku 5.5 with big price cuts and benchmark gains
Anthropic released Claude Haiku 5.5, a faster, lower‑cost small model aimed at high‑volume tasks; Anthropic says Haiku 5.5 costs ~75% less on average than Haiku 4.5 and up to 90% less for prompts ≤100,000 tokens. The company also halved Sonnet 5.5 cache‑read costs, added monthly API credits for subscribers, updated SDKs with beta computer/browser use, and says Haiku 5.5 outperforms its predecessor (and compares favorably to OpenAI’s GPT‑6 Luna) on several benchmarks and agentic coding tests.
Anthropic releases Claude Sonnet 5.5 claiming faster output and up to 30% lower per-task costs
Anthropic has released Claude Sonnet 5.5, the second model in its Claude 5.5 family; the company says the model generates output more than 30% faster and reduces per-task costs by up to 30% through more efficient token usage while nearly matching Opus 5.5 on several coding and knowledge-work benchmarks. Sonnet 5.5 is available on AWS, Google Cloud, and Azure as model ID "claude-sonnet-5-5," and Anthropic says it adds new safeguards against cybersecurity risks and distillation attacks — independent verification of the performance and cost claims is pending.
VERIFIABLE FACTS
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Anthropic announced Claude Haiku 5.5 as an upcoming release.
Reports state Haiku 5.5 is expected to have similar performance, efficiency, and safety improvements as Opus 5.5 (i.e., similar gains reported for the Claude 5.5 series).
Anthropic said Haiku 5.5 will be released "in the coming weeks," but did not provide a firm date.
Described by Anthropic as its smallest model in the lineup (Haiku is the smallest model).
Intended to focus on high-throughput, low-cost use cases.
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