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AI Radar · week of 29 September 2026 Updated weekly

What changed in AI, and should you care?

AI moves every week. The Radar picks the handful of changes that matter to Australian businesses and professionals, explains them in plain English, and gives each one a verdict, so you know whether to act, try it, watch or ignore it.

Reviewed 29 September 2026 · next review by 6 October 2026 · every item links to its source.

Act now Worth doing something about this week.Try it Worth a test on a real task of yours.Watch Keep an eye on it; no action yet.Skip the hype Ignore the noise; nothing to change.

This week’s changes

Act now Regulation · Coming 10 December 2026

Coming up: automated-decision rules in privacy policies (10 December)

From 10 December 2026, organisations covered by the Australian Privacy Principles must explain in their privacy policy any substantially automated decisions that significantly affect people.

What it means for you: List where AI makes or shapes decisions about customers or staff (credit, pricing, hiring, eligibility) and update your privacy policy before the deadline.

Try it New model · 28 September 2026

Claude Sonnet 5.5: near-top quality at a mid-range price

Anthropic released Claude Sonnet 5.5. It runs 30%+ faster and costs up to 30% less per task than Sonnet 5, and nearly matches Opus 5.5 on knowledge-work benchmarks.

What it means for you: For most everyday work (drafting, analysis, customer replies, agents) this is now the price-to-quality sweet spot. If you pay for a top-tier model for routine tasks, test this one.

Act now Security · 27 September 2026

An AI agent incident reaches the Senate

A Senate inquiry asked the OpenAI and Anthropic CEOs to appear, after reports that an OpenAI agent accessed data on the government’s Medicare portal. OpenAI said it found no evidence that patient records were accessed. Both companies declined the 1 October hearing, citing short notice.

What it means for you: AI agents that can log in, browse and act are now a board-level risk. Check what your agents and AI tools can reach, and make sure a person approves anything that changes records or sends data.

Skip the hype Trend · 25 September 2026

More than 20 new models in one month

Trackers counted more than 20 new AI models from over a dozen providers in September alone.

What it means for you: Don’t switch tools every time a model launches. Keep a small test set of your real tasks and re-check your choice each quarter, or when prices move by 30% or more.

Act now Price change · 22 September 2026

OpenAI halves API prices with GPT-6 Sol and Luna

GPT-6 Sol costs US$2 / US$10 per million input/output tokens and GPT-6 Luna costs US$0.10 / US$0.50: about half the price of the GPT-5.6 models they replace. OpenAI says these are permanent prices.

What it means for you: If you run anything on the OpenAI API, switching model names could halve the bill. For high-volume, simple tasks (tagging, routing, short replies), Luna is now close to free.

Try it New model · 22 September 2026

Claude Opus 5.5: flagship quality, 20% cheaper

Anthropic released Claude Opus 5.5 at US$4 / US$20 per million tokens, 20% below Opus 5. Anthropic says it matches Claude Fable 5.1 on most work and costs about 40% less to run than Opus 5 on typical workloads.

What it means for you: The hardest jobs (long documents, complex agents, tricky analysis) just got cheaper. Keep it for the steps where cheaper models fail your tests.

Try it Open-source · 8 September 2026

Open-weight models keep closing the gap

Qwen3.8 (including a 27B model under the Apache 2.0 licence) and DeepSeek V4 (MIT licence) are the current open-weight families. September leaderboards ranked GLM-5.3 and Kimi K3 highest among open-weight models.

What it means for you: Private AI that runs on your own hardware, with no per-token bill, is now realistic for focused jobs like triage, extraction and Q&A over your own documents. Check each model’s licence first.

Try it New model · 2 September 2026

Gemini 3.8 Flash: Google’s third Flash upgrade in about three months

Google released Gemini 3.8 Flash, with big gains in coding and agentic tasks over 3.7 Flash, at an introductory price that runs until 31 December.

What it means for you: A strong, cheap option for high-volume work, especially if you already use Google Workspace. Lock in a test before the introductory price ends.

Watch Regulation · 15 July 2026

Australia’s national AI framework: laws expected in 2027

The Government announced Australian Standards for AI and set up an Office of AI in the Department of the Prime Minister and Cabinet (operating from 15 July). Legislation is expected in early 2027.

What it means for you: Nothing is mandatory yet, but the direction is clear. Organisations with an AI register, named owners and human oversight will have the least rework when the laws land.

Game: hype or helpful?

Guess our verdict on each headline before you read it. How good is your AI hype detector?

Model price board

Standard API prices in US dollars per million tokens (roughly 750,000 words). Chat subscriptions are priced per seat instead. Prices change often, so check the provider before you commit.

ModelTierInputOutputBest for
Claude Opus 5.5AnthropicFrontierUS$4.00US$20.00Hardest reasoning, long documents, complex agents
Claude Sonnet 5.5AnthropicEverydayUS$2.00US$10.00Everyday drafting, analysis and agents
GPT-6 SolOpenAIEverydayUS$2.00US$10.00Everyday drafting, analysis and agents
Claude Haiku 4.5AnthropicBudgetUS$1.00US$5.00Fast, simple, high-volume tasks
Gemini 3.8 FlashGoogleBudgetUS$0.75US$3.75High-volume work, coding, Google WorkspaceIntroductory price until 31 Dec 2026
GPT-6 LunaOpenAIBudgetUS$0.10US$0.50Tagging, routing, short replies at huge volume
Qwen3.8 27BAlibaba (open-weight)OpenFree to run yourselfYou pay for hardwarePrivate AI on your own hardwareApache 2.0 licence
DeepSeek V4 FlashDeepSeek (open-weight)OpenFree to run yourselfYou pay for hardwarePrivate AI on a small GPU serverMIT licence

What would it cost me?

Pick a task and a monthly volume to compare monthly API costs across models. These are estimates: real token counts vary with your prompts and documents.

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