Anthropic · Claude
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Claude Haiku 5.5
A small, fast Claude model for high-volume tasks. Suited to summarization, browser use, and supporting agents where speed and cost matter.
Proprietary
What’s driving attention
1 distinct story in the last 30 days, compared with 0 in the previous period.
New coverage
Claude Haiku 5.5Community reaction
Insufficient discussion
1 analyzed discussion
At least three independent discussions with model-specific evidence are needed for an overall sentiment label. Reactions reflect the communities covered by Themata.
Early observations
What people value
Its new lower pricing makes it a viable cost/performance option for short-context, price-sensitive workloads.
Supporting discussion →Some testing and comparisons characterize it as considerably smarter than GPT-6 Luna while remaining fast.
Supporting discussion →It was viewed as highly competitive for its price on a coding-style benchmark and suitable for tightly scoped subagent work.
Supporting discussion →
What people question
The 100k-token pricing cutoff was criticized as too low for agentic workflows, with much higher costs beyond it.
Supporting discussion →A complex image-to-HTML test found it inadequate for the task compared with Opus 5.5.
Supporting discussion →Some early production testing reported worse results than Haiku 4.5, including prompt leakage and slower responses.
Supporting discussion →
Connected articles
Claude Haiku 5.5
· 4 supporting sampled comments
Model access
Download figures are not available for this hosted release. Follow the model reference for access options.
How to read this page
Attention reflects distinct stories, recency, capped engagement, and growth within Themata’s coverage. Sentiment is evaluated separately, with equal weight per discussion. Generic company or family mentions are not assigned to a specific release. “Open weights” describes access to model weights; license conditions still apply. Download counts come from Hugging Face and cover the last 30 days, regardless of the selected coverage period. They do not measure unique users.