What is Claude Haiku 5.5?
Claude Haiku 5.5 is Anthropic's lightweight high-speed model released on 2026-10-07 with 1M context and $0.10/$0.50 pricing.
Claude Haiku 5.5 Explained — 1M Context, $0.10 MTok, Fast Summaries
TL;DR — Anthropic shipped Claude Haiku 5.5 on 2026-10-07 with 1M context, 128K max output, and $0.10 input / $0.50 output per million tokens under 100k ($0.01 cache reads). Designed for high-volume text compaction, it does not ingest audio or video files directly. Pair raw models with BibiGPT notes.
Released · 2026-10-07 $0.10 / $0.50 MTok Live demo below
Fast text models still need multimedia transcripts
Paste a podcast, lecture, or meeting URL — BibiGPT converts audio and video into chapters, full transcripts, and interactive Q&A.
BibiGPT을 Google 선호 소스로 추가 주요 뉴스와 AI 답변에서 BibiGPT를 더 자주 만나보세요. 
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Key facts (90-second read)
As of 2026-10-16, Anthropic released Claude Haiku 5.5 on 2026-10-07. 1,000,000 context, 128K generation, $0.10 input / $0.50 output per million tokens under 100k, $0.01 cache read. Text compaction focus, no direct audio/video ingestion.
Features
What Anthropic shipped on 2026-10-07
Public facts from the official Claude Haiku 5.5 release — not an integration claim for BibiGPT.
1M context window and 128K output
Claude Haiku 5.5 expands context to 1,000,000 tokens with up to 128,000 tokens of generation.
$0.10 / $0.50 per MTok under 100k
For prompts up to 100k tokens: input $0.10 / output $0.50 per million tokens, cache read $0.01.
Targeted at high-volume compaction
Anthropic positions Haiku 5.5 for high-volume summarization, data extraction, and subagents.
Why lightweight models still need a video/audio bridge
Haiku 5.5 is a text reasoning engine. Recordings and streams still need transcription, timestamps, and structure.
No native audio or video URL ingestion
Haiku 5.5 does not parse raw MP4, YouTube, or podcast links. An ASR layer like Whisper or Qwen3-ASR must produce clean text first.
Meetings consume ~30% of work time
Laxis 2026: knowledge workers average 21.7 meetings weekly. Timestamped meeting notes turn recordings into searchable archives.
Podcasts need curation and timestamps
Edison 2026: listeners consume 8+ hours of weekly audio. BibiGPT timestamps key moments so you never miss decisions.
5 key facts about Claude Haiku 5.5
Facts verified from official releases as of 2026-10-16.
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Released on 2026-10-07
Anthropic launched Claude Haiku 5.5 as the high-throughput model in the Claude 5 family.
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1M context window and 128K output
1,000,000 tokens context window allows processing entire document libraries.
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$0.10 / $0.50 pricing tier
Under 100k tokens: $0.10 input and $0.50 output per million tokens.
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$0.01 prompt caching read
Prompt cache reads drop to $0.01 / MTok (~75% reduction vs Haiku 4.5).
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Fast text summarization
Haiku 5.5 excels at text compaction; BibiGPT provides the multimedia transcription bridge.
3 typical scenarios for BibiGPT users
How knowledge workers pair high-speed LLMs with multimedia notes.
Weekly technical podcasts
Listeners spend 8.4 hours weekly on audio (Edison 2026). Use BibiGPT to generate timestamped chapters.
Back-to-back team meetings
Knowledge workers average 21.7 meetings weekly (Laxis 2026). BibiGPT archives calls into searchable meeting notes.
Video lectures and courses
Paste lecture URLs to get structured outlines and exported Markdown notes.
Related BibiGPT pages
Explore related model updates and AI productivity tools.
Sources & References
Launch details verified from official releases as of 2026-10-16.
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Anthropic released Claude Haiku 5.5 on 2026-10-07. 100k tokens or fewer: $0.10/$0.50 MTok, cache read $0.01. Context 1M, output 128K.
Anthropic — Claude Haiku 5.5 Model Card (2026-10-07) ↗ -
Laxis State of Meetings 2026: knowledge workers attend 21.7 meetings weekly (~30% of work week).
Laxis — State of Meetings 2026 ↗ -
Edison Research 2026: US podcast listeners average 8 hours 24 minutes weekly across 6.8 shows.
Edison Research — The Infinite Dial 2026 ↗
What is Claude Haiku 5.5?
크리에이터, 학생, 연구자들이 애용합니다
매일 영상을 텍스트로 바꾸는 데 BibiGPT가 선택받는 이유.
전 세계 50,000명 이상이 신뢰하는 서비스
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“링크만 붙여넣으면 몇 초 만에 깔끔한 자막 텍스트가 나와서 매주 몇 시간씩 걸리던 받아쓰기가 사라졌어요.”
Maya R.
콘텐츠 크리에이터 · 숏폼 영상 재활용
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“스크립트를 내보낼 수 있어서 영상을 계속 멈추지 않고 제 속도로 새 단어를 복습할 수 있습니다.”
Daniel K.
어학 학습자 · 실제 영상으로 공부
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“타임스탬프가 달린 정확한 텍스트를 바로 인용할 수 있어요. 어느새 매일 쓰는 워크플로의 일부가 됐습니다.”
Priya S.
연구원 · 공개 강연 인용
FAQ
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인기 가이드
1 AI 학생 학습 워크플로 2026: Microsoft Study Agent + Laxu AI + BibiGPT 조합 — 강의 영상에서 Anki 플래시카드까지 5단계
2026 학생용 AI 학습 워크플로: Microsoft Study and Learn Agent, Laxu AI, NotebookLM Education, BibiGPT 비교와 조합 사용법. 강의 영상을 Anki 플래시카드로 만드는 5단계 실전 가이드.
2 Bilibili AI 동영상 요약 도구: BibiGPT가 30개 이상 플랫폼을 즉시 요약(2026)
2026년 최고의 Bilibili AI 동영상 요약 도구는? 링크를 붙여넣으면 30개 이상 플랫폼에서 구조화된 요약, 마인드맵, 핵심 포인트를 즉시 받을 수 있습니다. 상위 5개 도구를 비교합니다.
3 DeepSeek Harness에 skill 설치하는 법: dsh가 영상을 보게 만드는 실전 튜토리얼
DeepSeek Harness에 영상 요약 skill을 넣는 건 디렉터리를 복사하면 끝——SKILL.md는 Claude Code와 같습니다. dsh 없이 브라우저에 Bilibili나 YouTube 링크만 붙여도 타임스탬프 요약이 나옵니다.
Keep the model card. File the recap.
Paste a podcast, lecture, or meeting recording into BibiGPT to get structured chapters, transcripts, and follow-up Q&A.