Value Champion" Claude Haiku 4.5 Arrives — Faster Speed at Just One-Third the Cost of Sonnet 4

Value Champion" Claude Haiku 4.5 Arrives — Faster Speed at Just One-Third the Cost of Sonnet 4

Anthropic Launches Claude Haiku 4.5

Date: 2025‑10‑16 12:49 Beijing

Tagline: Faster, Cheaper, Safer

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Overview

Just two weeks after its last product launch, Anthropic has unveiled Claude Haiku 4.5 — a lightweight AI model designed to be cheaper and faster, while delivering mid-to-high-end performance comparable to Claude Sonnet 4.

Key points:

  • Price: $1 per million input tokens, $5 per million output tokens — about one-third the cost of Sonnet 4.
  • Speed: Inference speed is more than double that of Sonnet 4.
  • Performance: Comparable intelligence with improvements in certain real-world benchmarks.
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> “Haiku 4.5 has made a clear leap in performance. It’s now essentially as smart as Sonnet 4, but much faster and only one‑third of the cost.” — Anthropic spokesperson

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Benchmark Highlights

Tests show Haiku 4.5 outperforms Sonnet 4 on select tasks:

  • OSWorld (real-world computer tasks): Haiku 4.5 scored 50.7% vs Sonnet 4's 42.2%.
  • Mathematical reasoning (AIME 2025, Python tools): Haiku 4.5 scored 96.3% vs Sonnet 4's 70.5%.
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Target Use Cases

Claude Haiku 4.5 is optimized for real-time, low-latency scenarios, such as:

  • Chat assistants
  • Customer support
  • Collaborative coding

Benefits: Faster coding responses, improved multi‑agent workflows, and quicker prototyping cycles.

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Early Customer Feedback

Guy Gur‑Ari — Co‑founder, Augment Code

> “Claude Haiku 4.5 reached the sweet spot: near‑frontier coding quality, astounding speed, and cost efficiency. In Augment’s internal tests, its performance achieved 90% of Sonnet 4.5, comparable with much larger models.”

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Jeff Wang — CEO, Windsurf

> “Historically, models have traded speed and cost for quality. Haiku 4.5 blurs this trade‑off: fast, frontier‑level quality, and highly cost‑efficient.”

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Position in Anthropic’s Model Lineup

While Claude Sonnet 4.5 remains Anthropic’s strongest model across most benchmarks, Haiku 4.5 excels at cost efficiency combined with near‑top-tier performance.

Enterprise Strategy:

  • Sonnet 4.5 — designs complex, multi‑step plans
  • Haiku 4.5 — executes parallel sub‑tasks at speed

This dual‑model approach enables multi-agent systems to handle:

  • Large-scale refactoring
  • System migration
  • Rapid feature development

Example: In finance, Haiku 4.5 could track thousands of data streams and regulatory updates in real time, while Sonnet 4.5 performs predictive modeling and strategic analysis.

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Multi‑Platform Publishing Synergy

Tools like AiToEarn官网 integrate:

  • AI content generation
  • Multi‑platform publishing
  • Analytics & model ranking (AI模型排名)

Supported channels: Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X.

Benefit: Ideal for creators and developers wanting to deploy Claude Haiku 4.5 into high‑impact, multi‑platform workflows.

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Research Applications

Example Workflow:

  • Claude Sonnet 4.5 — Conducts overarching strategic analysis.
  • Haiku 4.5 agents — Perform literature review, data collection, and synthesis from multiple sources simultaneously.

Impact: Weeks of research compressed into hours.

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Safety & Alignment

Anthropic states Haiku 4.5 has undergone detailed safety evaluations:

  • Lower incidence of biased/problematic behaviors compared to Haiku 3.5.
  • Better alignment than Claude Sonnet 4.5 and Claude Opus 4.1.
  • Considered “safest model to date” by Anthropic.

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Availability

Claude Haiku 4.5 replaces Haiku 3.5 and Sonnet 4 globally.

Access options:

  • Claude platform
  • API
  • Amazon Bedrock
  • Google Cloud Vertex AI

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Anthropic’s Rapid Release Timeline

  • Aug 2025: Opus 4.1 launches — SWE‑Bench Verified score: 74.5% (vs Opus 4’s 72.5%).
  • Sep 30, 2025: Claude Sonnet 4.5 introduced — marketed as “world’s best coding model”.
  • Oct 2025: Claude Haiku 4.5 follows — competing internally.

Business Growth:

  • Current monthly run rate: ~$7B
  • Projected year-end run rate: ~$9B
  • 2026 goal: $20–26B annualized

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References

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Broader AI Ecosystem Impact

In today’s fast-evolving AI world, efficient workflows are critical for both research teams and solo creators.

Platforms like AiToEarn官网 enable:

  • AI model integration into content workflows
  • Simultaneous publishing across major social networks
  • Built‑in analytics for performance optimization

Such tools help creators and enterprises capitalize on rapid AI advancements like Anthropic’s Claude lineup.

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