Claude’s “Best Yet” Model Released: Double the Speed, Half the Price, Coding Skills Near GPT‑5

Claude Haiku 4.5 — Anthropic’s Latest Small-Tier Model
Just moments ago, Anthropic announced Claude Haiku 4.5 — the newest member of the Claude model family.
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📌 Background: The Claude Model Tiers
Anthropic’s Claude models come in three parameter-scale tiers:
- Claude Opus — Large
- Claude Sonnet — Medium
- Claude Haiku — Small
The Haiku tier targets speed and affordability, while maintaining strong model capabilities.
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Key Highlights
- Near Sonnet 4 performance at 1/3 the price
- 2× faster execution for code generation and reasoning tasks
- SWE-bench Verified benchmark score: 73% — matching Claude Sonnet 4 and OpenAI GPT‑5
- In certain use cases (e.g., computer operation), Haiku 4.5 outperforms Sonnet 4
- Ideal for low-latency AI applications such as:
- Real-time chat assistants
- Customer service bots
- Pair programming tools

▲ SWE-bench Verified benchmark — real-world coding task performance
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Coding & Development Benefits
For developers using Claude Code, Haiku 4.5 offers:
- Faster multi-agent collaboration
- Rapid prototyping capabilities
- Responsiveness across the programming workflow
Its speed advantage makes it well-suited for agile coding scenarios.

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Synergy with Sonnet 4.5
A noteworthy pairing:
- Sonnet 4.5 can decompose complex problems into multiple sub-tasks
- Haiku 4.5 instances execute them in parallel
- Result: High coordination with lower cost
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Safety & Alignment
Anthropic’s internal tests show:
- Low undesirable behavior incidence
- Improved alignment vs. Haiku 3.5
- Even lower deviation than Sonnet 4.5 and Opus 4.1
- Currently the safest model Anthropic has produced

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Pricing Snapshot
- Haiku 4.5: $1 per million input tokens, $5 per million output tokens
- GPT‑5 mini / Gemini 2.5 Flash: ~$0.25 (input) / $2.5 (output) per million tokens
- Despite being ~4× costlier than GPT‑5 mini, Haiku 4.5 offers top-tier speed + coding capability
- 3× cheaper than Sonnet 4.5 with minimal performance sacrifice
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Known Weakness
- Math performance: May miscalculate results, even after being corrected
- Example: Uber bill sum test — identified all emails but repeatedly miscalculated totals
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Industry Feedback
Quoting Dan Shipper’s assessment:
> If you’re using Sonnet 4.5 for complex intelligent agents, Haiku lets you cut costs significantly with minimal performance loss.
> If you’re on Gemini 2.5 Flash or GPT‑5 mini, Haiku may outperform in situations requiring tool use & autonomous workflows, even at a slightly higher cost.

▲ Full blog: https://every.to/vibe-check/vibe-check-claude-haiku-4-5-anthropic-cooked
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Availability
Haiku 4.5 is available via:
- Claude API
- Amazon Bedrock
- Google Cloud Vertex AI
It replaces Haiku 3.5 and Sonnet 4 at Anthropic’s most competitive pricing tier.

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Speed Demo
Following @zb1992’s prompt recommendation:
- Clock demo with Haiku 4.5 delivered noticeably faster code generation
- Reasoning + calculation test further proved its speed advantage in lightweight model use cases

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Company Strategy — Beyond Coding Assistants
According to The Information:
- Anthropic’s valuation: up to $170B
- Plans:
- Acquire technical talent via small-scale deals (<$500M)
- Expand into developer tools like automated vulnerability testing & AI-assisted design
- Explore vertical-specific products in finance, healthcare, cybersecurity

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Integrating Haiku 4.5 with Content Monetization Platforms
Tools like AiToEarn官网 offer synergy:
- Open-source global AI content monetization
- AI-assisted multi-platform publishing: Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)
- Built-in analytics & AI model ranking: AI模型排名
- Ideal for creators leveraging Haiku 4.5’s speed for real-time global content
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Bottom Line
Claude Haiku 4.5 delivers:
- Near-flagship performance
- Significant cost savings
- Exceptional speed — perfect for real-time and parallelized workloads
- Best safety profile yet from Anthropic
In a competitive AI market, Haiku 4.5’s value proposition makes it a compelling choice for:
- Developers requiring agility
- Businesses balancing cost & capability
- Creators aiming for global reach with AI-powered workflows
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Do you want me to also create a side-by-side comparison table of Haiku 4.5 vs. Sonnet 4.5 vs. GPT‑5 mini for quick reference? That would make this Markdown even more reader-friendly.