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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.

Turn a recording into 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.

Adicionar BibiGPT como fonte preferida no Google Veja mais BibiGPT nas Principais notícias e nas respostas com IA.

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.

  1. 1

    Released on 2026-10-07

    Anthropic launched Claude Haiku 5.5 as the high-throughput model in the Claude 5 family.

  2. 2

    1M context window and 128K output

    1,000,000 tokens context window allows processing entire document libraries.

  3. 3

    $0.10 / $0.50 pricing tier

    Under 100k tokens: $0.10 input and $0.50 output per million tokens.

  4. 4

    $0.01 prompt caching read

    Prompt cache reads drop to $0.01 / MTok (~75% reduction vs Haiku 4.5).

  5. 5

    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.

Claude Opus 5 explained

Anthropic frontier reasoning flagship model.

AI podcast summary

Convert long-form podcasts into concise chapters.

Free AI meeting notes

Transform recordings into structured meeting recaps.

GLM-5.3-Flash explained

Z.ai multimodal coding and reasoning model.

Sources & References

Launch details verified from official releases as of 2026-10-16.

What is Claude Haiku 5.5?

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.

Adorado por criadores, estudantes e pesquisadores

Por que as pessoas usam o BibiGPT todos os dias para transformar vídeos em texto.

Mais de 50.000 usuários no mundo todo confiam

★★★★★

“Colo um link e recebo legendas limpas em segundos — economizo horas de redigitação toda semana.”

Maya R.

Criadora de conteúdo · Reaproveita vídeos curtos

★★★★★

“Exportar a transcrição me deixa revisar palavras novas no meu ritmo, sem pausar o vídeo o tempo todo.”

Daniel K.

Estudante de idiomas · Estuda com vídeos reais

★★★★★

“Texto preciso e com marcação de tempo que posso citar diretamente. Sem perceber, virou parte do meu fluxo diário.”

Priya S.

Pesquisadora · Cita palestras públicas

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Paste a podcast, lecture, or meeting recording into BibiGPT to get structured chapters, transcripts, and follow-up Q&A.

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