Langsung ke konten utama

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.

Jadikan BibiGPT sumber pilihan di Google Lihat lebih banyak BibiGPT di Berita Utama dan jawaban AI.

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.

Disukai kreator, pelajar & peneliti

Mengapa banyak orang memakai BibiGPT setiap hari untuk mengubah video menjadi teks.

Dipercaya 50.000+ pengguna di seluruh dunia

★★★★★

“Saya tempel tautan dan dalam hitungan detik mendapat teks subtitle yang rapi — menghemat berjam-jam mengetik ulang setiap minggu.”

Maya R.

Kreator konten · Mendaur ulang video pendek

★★★★★

“Dengan mengekspor transkrip, saya bisa mengulang kosakata baru sesuai kecepatan sendiri tanpa terus menjeda video.”

Daniel K.

Pembelajar bahasa · Belajar dengan video asli

★★★★★

“Teks akurat dengan stempel waktu yang bisa langsung saya kutip. Diam-diam sudah jadi bagian dari rutinitas harian saya.”

Priya S.

Peneliti · Mengutip ceramah publik

Pertanyaan yang Sering Diajukan

Tanyakan apa pun.

Popular guides

1

Alur Kerja Belajar Pelajar AI 2026: Kombo Microsoft Study Agent + Laxu AI + BibiGPT — 5 Langkah dari Video Kuliah ke Flashcard Anki

Playbook alur kerja belajar AI pelajar 2026: bandingkan Microsoft Study and Learn Agent, Laxu AI, NotebookLM Education, dan BibiGPT — plus walkthrough 5 langkah mengubah video kuliah menjadi flashcard Anki.
2

Tool Ringkasan Video AI Bilibili: BibiGPT Ringkas 30+ Platform Instan (2026)

Tool ringkasan video AI Bilibili terbaik 2026? BibiGPT mendukung 30+ platform dengan 1 juta+ pengguna. Tempel link Bilibili untuk ringkasan terstruktur instan. Bandingkan top 5 tool plus otomasi AI agent.
3

How to Install Skills in DeepSeek Harness: A Hands-On Guide to Teaching dsh to Watch Videos

Install a video-summary skill into DeepSeek Harness in one copy-paste — SKILL.md matches Claude Code. Or skip dsh: paste a Bilibili or YouTube link in the browser and get a timestamped summary.

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.

Try BibiGPT free