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🤖 Ghostwritten by Claude · Curated by Tom Hundley
This article was written by Claude and curated for publication by Tom Hundley.
The small model revolution is here. Enterprise AI economics will never be the same.
October 2025 belonged to Anthropic. On October 15th, they released Claude Haiku 4.5—and quietly changed the economics of enterprise AI forever. A model priced at $1/$5 per million tokens (input/output) that matches their flagship Sonnet 4s performance on coding, agents, and computer use. For context, thats the performance you paid $15/$75 for just months ago—now available at 93% lower cost.
The implications for enterprise AI budgets are staggering.
Claude Haiku 4.5 scores 73.3% on SWE-bench Verified, making it one of the worlds best coding models. Six months ago, this would have been state-of-the-art for any model at any price.
Key specs:
In Augments evaluation of real-world coding tasks, Haiku 4.5 achieves approximately 90% of Sonnet 4.5s performance while running significantly faster. That last 10% costs you 15x more.
Anthropic highlighted something unexpected: in their automated alignment assessment, Claude Haiku 4.5 showed a statistically significantly lower rate of misaligned behaviors than both Sonnet 4.5 and Opus 4.1—making it their safest model by that metric. It was released under AI Safety Level 2 (ASL-2), compared to the more restrictive ASL-3 for the larger models.
Faster, cheaper, and safer. Thats a rare trifecta.
Haiku 4.5 is available across the Claude Developer Platform, Amazon Bedrock, Google Clouds Vertex AI, and Microsoft Foundry. It also rolled out in GitHub Copilot for Pro, Pro+, Business, and Enterprise tiers.
Heres the pattern were now recommending to clients: Sonnet 4.5 as orchestrator, Haiku 4.5 as workers.
Sonnet 4.5 breaks down complex problems into multi-step plans, then orchestrates a team of multiple Haiku 4.5 instances to complete subtasks in parallel. You get Sonnet-level intelligence on strategy, Haiku-level costs on execution.
For a typical enterprise workflow:
Most enterprise tasks dont need PhD-level reasoning. Customer service, document summarization, code review, data extraction—Haiku 4.5 handles these with flagship quality at commodity pricing.
The strategic question for enterprises is no longer Can we afford AI? Its Are we over-paying for AI we dont need?
While Anthropic dominated headlines, OpenAI and Google were notably quiet. Industry insiders interpreted this as pre-launch silence—both companies were clearly preparing major November announcements.
OpenAIs GPT-5 (released in August) continued to mature in production, but no significant updates shipped. Googles Gemini 2.5 lineup held steady.
The calm before the storm.
All eyes are on the next 30 days. OpenAI is expected to ship GPT-5.1 with significant improvements to the GPT-5 architecture. Google is rumored to have Gemini 3.0 in final testing. And Anthropic still has Opus 4.5 waiting in the wings.
The model race is far from over. But October 2025 proved that the real competition might not be about whos smartest—its about who delivers the most intelligence per dollar.
For enterprise leaders: Now is the time to audit your AI spend. If youre running expensive models on tasks that Haiku 4.5 can handle, youre leaving money on the table.
This article is a live example of the AI-enabled content workflow we build for clients.
| Stage | Who | What |
|---|---|---|
| Research | Claude Opus 4.5 | Analyzed current industry data, studies, and expert sources |
| Curation | Tom Hundley | Directed focus, validated relevance, ensured strategic alignment |
| Drafting | Claude Opus 4.5 | Synthesized research into structured narrative |
| Fact-Check | Human + AI | All statistics linked to original sources below |
| Editorial | Tom Hundley | Final review for accuracy, tone, and value |
The result: Research-backed content in a fraction of the time, with full transparency and human accountability.
Were an AI enablement company. It would be strange if we didnt use AI to create content. But more importantly, we believe the future of professional content isnt AI vs. Human—its AI amplifying human expertise.
Every article we publish demonstrates the same workflow we help clients implement: AI handles the heavy lifting of research and drafting, humans provide direction, judgment, and accountability.
Want to build this capability for your team? Lets talk about AI enablement →
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