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The words Claude Haiku 5.5 in black serif type on an off-white background, between three torn paper fragments in yellow, beige, and blue, with a thin black arc running beneath the name.
Modelsstrong signal

Claude Haiku 5.5 cuts Anthropic's small-model price by 90% for prompts under 100,000 tokens

Anthropic released Claude Haiku 5.5 on October 7, 2026. For prompts up to 100,000 tokens it costs $0.10 per million input tokens and $0.50 per million output tokens, a tenth of what Haiku 4.5 charges; above that line the prices are $0.50 and $2.50. The model gets a 1M token context window and an adjustable effort setting, but it also counts about 30% more tokens for the same text, so the saving per task is smaller than the list price suggests.

Anthropicverified

AMAZON BEDROCK$1.68 / $5.28GLM 5.3 per million input and output tokens, f
Modelsmedium signal

Bedrock adds GLM 5.3 for approved customers and ships Nova 2.5 Sonic for voice agents

Two model additions landed on Bedrock on the same day. Z.ai's GLM 5.3 arrives with a 1 million token context and a listed price of $1.68 per million input tokens, but only for customers AWS approves. Nova 2.5 Sonic is the new speech-to-speech model, in four regions, at the same price as its predecessor, with no published benchmark. The open source Strands framework made its voice agents generally available alongside it.

AWSverified

Screenshot of the OpenAI API dashboard, Project Settings, Text provenance tab: the Allow text watermarking switch is on, the Models menu reads All selected, and a Save button sits below.
Modelsstrong signal

OpenAI will watermark ChatGPT and Codex text in the EU, and API customers can opt in

OpenAI published its plan for text watermarking on October 5, 2026, in response to the EU AI Act. Over the coming weeks, eligible ChatGPT and Codex text output in the European Union will carry an invisible watermark called textGrain. In the API, watermarking is available worldwide from the same day for select models, and it stays off unless you turn it on. The detector is not public: OpenAI is limiting it to approved researchers and expert organizations.

OpenAIverified

Modelsmedium signal

A preprint finds six commercial LLM routers no better than a random pick between two models

A preprint submitted to arXiv on October 2, 2026, tested six commercial LLM routers in 14 settings. According to the authors, none of them beat a router that picks at random between Gemini 3.7 Flash and Opus 5 at the same cost, and one trailed it by 10.5 percentage points. The authors, who work at Fastino Labs, trace the gap to the way routers are evaluated and to rosters that hold too many models. The paper has not been peer reviewed.

arXiv, Fastino Labsverified

Agentsmedium signal

GitHub Copilot retires four models and makes Balanced its default code review effort

GitHub deprecated four models across all Copilot experiences on October 2, 2026: Gemini 3.5 Flash, Gemini 3.6 Flash, Kimi K2.7 Code, and Claude Opus 4.7. On the same day it made Copilot code review available through the REST and GraphQL APIs. Balanced is now the default review effort level, a change that took effect on September 28, 2026. According to GitHub's documentation, a Balanced review consumes more AI credits than a Lite one.

GitHub Changelogverified

Toolsstrong signal

Reddit will close its public API in March 2027, and RSS feeds are due to end on November 13

Reddit's developer portal now asks owners of Data API apps to register them, and says access for unregistered apps and users will start to be removed on January 12, 2027. The remaining public API access ends in March 2027. Ars Technica and TechCrunch report that a Reddit staff post on September 30, 2026, also announced the end of RSS support on November 13, 2026, with no replacement for feeds from communities you do not moderate. If your site, bot, or monitoring tool reads Reddit through either path, you now have deadlines.

Redditverified

Industrymedium signal

OpenAI says it disrupted a campaign to extract hidden reasoning and ties part of it to Moonshot AI

OpenAI said on September 30, 2026, that it identified and disrupted a coordinated campaign to extract protected reasoning from its models. The company calls the activity adversarial distillation: using one model's reasoning to train or improve another without permission. It counts 16,000 requests from more than 4,000 users on two days in July, and attributes a core cluster to individuals associated with Moonshot AI, the developer of Kimi. OpenAI says no encryption was broken and no stored conversations were accessed. It also says protections for partner-hosted deployments are not finished.

OpenAIverified

Connectorsstrong signal

ChatGPT plugins can now run as sidebar apps and react to events from connected tools

OpenAI opened the interface layer it uses for its own ChatGPT features to outside developers. A plugin can now claim a place in the sidebar, open a panel beside a conversation, and act as the viewer for its own file types. A separate MCP Events integration lets a plugin start an automation when something happens in a connected app, which requires MCP 2.0 and webhook delivery. Sign in with ChatGPT lets a Plus or Pro allowance be spent in 16 partner tools.

OpenAIverified

Agentsstrong signal

Codex gets reusable cloud environments, voice control in the CLI, and repository security scans

OpenAI turned Codex cloud tasks into published environments that a team can reuse, with each task in its own workspace and work continuing while your laptop sleeps. The CLI takes spoken instructions and shows parallel tasks in a new view. Codex Security Cloud scans whole GitHub repositories and prepares fixes in the cloud. The Agents API now drives a computer, and a Bedrock version runs the same agents inside AWS.

OpenAIverified

Modelsstrong signal

OpenAI ships GPT-6.1 Sol at GPT-6 Sol prices and adds a $500 Pro plan with Ultrafast

GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens, the same as GPT-6 Sol, and its cached input drops to $0.10. OpenAI says the model comes close to GPT-6 Astra on coding and computer use at a fifth of Astra's price. The larger GPT-6.1 Astra did not ship. A new Pro 500 plan at $500 a month is the only Pro tier that includes Ultrafast, and Pro 200 returns with a smaller allowance.

OpenAIverified

Modelsstrong signal

OpenAI releases GPT-6 Sol and Luna and halves the API price of both tiers

GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens, and GPT-6 Luna costs $0.10 and $0.50. OpenAI measures the 50% cut against the promotional prices it charged for GPT-5.6. The launch also brings a reworked prompt cache with discounts of up to 90% on cached input. Every benchmark comparison with Claude comes from OpenAI and uses Opus 5, not Opus 5.5.

OpenAIverified

Agentsstrong signal

Claude Code 2.1.278 moved auto mode's safety checks to the server, where they are not billed

In auto mode a classifier inspects shell commands and network requests before they run, and those checks were separate model requests charged as token usage. From this version Claude Code asks the server to perform them inside the session's own requests, and does not charge for them when the server answers. The default covers Enterprise plans, Claude API accounts, and the AWS, Bedrock, Agent Platform, and Foundry paths, subject to each platform's rollout. Where the server's checks cannot reach a session, the earlier billing returns and a one-time notice says so.

Claude Codeverified

Modelsstrong signal

TypeSafe AI opened early access to Jev, a model that returns decisions instead of text

Jev does not write sentences. It reads unstructured input and returns a value whose shape you declared in advance, with a calibrated probability attached to every field. TypeSafe AI charges $0.042 per million input tokens, charges nothing for output, and reports end-to-end response times of 70 to 500 milliseconds. The speed and cost multiples on its home page come from evaluations the company built and ran itself.

TypeSafe AIverified

Modelsmedium signal

Amazon Bedrock added Kimi K3, and its agent runtime now starts in about two seconds

Two Bedrock announcements landed on September 18, 2026. Kimi K3, which Moonshot AI describes as the first open model with 2.8 trillion parameters, is generally available, and it is the first open-weight model on Bedrock that supports explicit prompt caching. The runtime agents run inside was replaced at the same time: AWS measured a P75 cold start of 1.9 to 2.0 seconds for container images from 200 MB to 2 GB, against 5.4 to 30 seconds on the previous version. Memory is now released during a session instead of being held at the peak.

Amazon Web Servicesverified

Agentsmedium signal

GitHub's Copilot metrics now report which skills, MCP servers and slash commands get used

Two changelog entries on September 17, 2026 extend Copilot reporting from how much is used to what is used. The usage metrics API now returns the most-used skills, custom agents, MCP servers, slash commands and plugins, with an interaction count for each. The impact dashboard separately reports how many people used each Copilot feature on at least two days in a 28-day window. Both are for administrators, and both come with counting rules that will mislead anyone who skips them.

GitHubverified

Connectorsmedium signal

UN statistics now sit behind an MCP connection an agent can query itself

The UN system has opened the UN System Data Commons, a single knowledge graph built from statistics that used to live in separate agency silos. It is searchable in plain language at data.un.org, and it speaks the Model Context Protocol, so an agent can fetch a figure without a person opening a spreadsheet. Google states that every dataset was validated with UN statisticians. The stated goal is 80% of the system's statistical datasets by 2027.

Googleverified

Agentsstrong signal

OpenAI turns the harness behind Codex into an Agents API

On September 10, 2026, OpenAI opened the Agents API in public beta, giving any developer the harness and infrastructure that already run Codex. One call creates an agent session with its task, model, tools and execution environment, and the compaction, tool search and subagent orchestration come with it. The same day, the GPT-Live-1 voice model reached the API at $0.05 per minute for the voice layer. For anyone building agents, the orchestration layer is now a purchased component rather than a written one.

OpenAIverified

Modelsmedium signal

ChatGPT, Claude, Grok, and Gemini all had trouble inside the same two hours on September 3

On September 3, 2026, Anthropic logged elevated errors across Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5, OpenAI logged elevated errors across ChatGPT and Codex, Grok showed users an error message, and third-party monitors recorded a likely Gemini API interruption. Four independent providers, one morning. No status page names a shared cause, and Amazon Web Services, Microsoft Azure, and Cloudflare reported nothing major. For anyone whose product calls more than one of these, this is the failure mode that a second provider does not fix.

Ars Technicaverified

Modelsstrong signal

OpenAI ships GPT-6 Astra at $10 per million input tokens, with enterprise access off by default

GPT-6 Astra went out on September 3, 2026, first to a limited set of organizations and then, over the following days, to ChatGPT Plus, Pro, Business, and Enterprise. In the API it answers to the name gpt-6-astra at $10 per million input tokens and $50 per million output tokens, and it is also served through Microsoft Azure and Amazon Bedrock. Enterprise workspaces do not get it automatically, because access is off by default at launch and an administrator has to turn it on. OpenAI also says the extra safety checks around this model can pause work in ChatGPT and Codex and stop it outright in the API.

OpenAIverified

Modelsmedium signal

Google's WeatherNext 3 forecasts every hour at 5 kilometers, and you can query it from BigQuery

Google DeepMind and Google Research published WeatherNext 3 on September 3, 2026. It learns from live geostationary satellite mosaics rather than only from physics simulations that carry a six-hour data lag, which lets it produce a new forecast every hour instead of every six. Temperature and moisture come out on a 5-kilometer grid, where WeatherNext 2 worked on 25 kilometers. The forecast data is queryable in BigQuery and Earth Engine today, so this is a release you can build on rather than a paper you can read.

Google DeepMindverified

Connectorsmedium signal

ChatGPT for Healthcare now connects to Epic records and nine official public health sources

OpenAI announced an Epic integration and a Healthcare Public Data plugin for ChatGPT for Healthcare on September 1, 2026. A clinician can bring authorized patient context into ChatGPT instead of reading across notes, labs, medications and specialist documentation. The EHR integration is not available to individual accounts. Every accuracy figure in the announcement comes from an evaluation OpenAI itself organized.

OpenAIverified

Modelsstrong signal

OpenAI puts Astra in its critical cyber tier, and the safeguards will stop legitimate work too

OpenAI says its unreleased Astra model meets the Critical cybersecurity threshold in its Preparedness Framework, the first model it has designated that way. In testing the model found previously unknown flaws in a hardened browser and operating system and chained them into working compromises. Parts of the model's development and release were delayed while protections were rebuilt. The part that matters outside the lab is the deployment note: the new monitoring can pause or stop work that has nothing to do with security.

OpenAIverified

Modelsstrong signal

Google gave Gemini a video tool that picks what to watch, and reports up to 88% fewer tokens

Agentic video understanding lets the model decide which segments of a video to open, at what frame rate, and whether to use frames, audio, or the transcript. Google launched it on September 1, 2026 for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite, through the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform. The company reports up to 88% lower token consumption, up to 66% lower cost, and up to 7% better accuracy on standard video analysis benchmarks. The price list does not move: standard token rates apply and there is no separate fee.

Googleverified

Toolsmedium signal

Circleback now has a free plan, and full API and MCP access starts at 15 dollars

The meeting note-taker replaced its lineup with four tiers: Free, Pro, Business and Enterprise. The free one records and transcribes without a cap on the number of meetings and keeps 30 days of history, and the release note says it is a plan rather than a trial. What it withholds is full access to the API, the Model Context Protocol server and the command-line tool. Those begin at $15 per user per month, which is where the line now runs for anyone feeding transcripts into an agent.

Circlebackverified

Agentsstrong signal

OpenAI sets a shutoff date for Cursor's access to its models

OpenAI notified SpaceX on August 28 that it intends to wind down the contract that puts its models inside Cursor, and it proposed November 12, 2026 as the shutoff date. The stated reason is that OpenAI cannot be confident SpaceX will stay inside its terms of service. Cursor is also cut out of Astra, the model OpenAI says is coming. If you write code in Cursor against an OpenAI model, that part of your setup now has an expiry date.

OpenAIverified

Video & Imagemedium signal

Gemini Omni 1.1 Flash extends a shot to forty seconds and drafts it in 360p first

Google's video model can now continue an existing clip in ten-second steps up to forty seconds total, reading up to ten seconds of prior footage instead of only the final second. A 360p draft mode runs up to 60 percent faster at a third of the cost, and finished work upscales to 1080p or 4K.

Googleverified

Video & Imagemedium signal

FLUX Upscale prices video by the megapixel-second, and charges only for what comes out

Black Forest Labs released FLUX Upscale on August 20 as a standalone tool and endpoint that regenerates video up to 4K. It runs in two modes: Precise at $0.07 per megapixel-second and Creative at $0.10. The billing detail matters more than either rate, because the charge is calculated on the output alone, so the upscale factor you pick is what sets the bill.

Black Forest Labsverified

Modelsstrong signal

GPT-5.6 Sol drops to $4 and $20, and overtakes Claude Opus 5 on cost

OpenAI cut Sol's API price on August 21: input from $5 to $4, output from $30 to $20, cached input from $0.50 to $0.40. On a standard task the model goes from more expensive than Claude Opus 5 to cheaper than it. The cut is promotional and runs at least through November 21.

OpenAIverified

Modelsstrong signal

Best cheap models for high-volume work, priced per thousand calls

Six models, one task, one number: what a thousand calls cost when each sends 4,000 tokens in and gets 800 back. The cheapest row is $1.76 and the most expensive is $16.00, a nine-fold spread rather than the hundred-fold spread the category implies. Two things move the ranking more than the headline price does, and one of them has a date on it.

Anthropic, Google, OpenAIverified

Modelsstrong signal

Claude Opus 5 vs GPT-5.6 Sol: which is cheaper depends on a threshold OpenAI does not publish

Sol's price cut on August 21 put it below Opus 5 on both short-context columns — $4 against $5 on input, $20 against $25 on output. Its long-context column went the other way and still costs more. Opus 5's price sits between Sol's two columns, so the cheaper model depends on which column your request lands in, and OpenAI does not say where the boundary is.

Anthropic, OpenAIverified

Modelsstrong signal

Cut your model bill by 89% without changing what you ship

Four levers, all published, none of them clever: cache the fixed part of your prompt, batch what can wait, drop a tier where the task allows it, and stop paying multipliers you did not ask for. Worked all the way through on one real workload.

Anthropic, OpenAIverified

Modelsstrong signal

Claude Opus 5: choosing how much effort to spend, at unchanged prices

The new flagship in the Opus line lets you set how much effort it spends on a task, across three levels: low, medium, and high. That is direct control over the trade-off between cost and quality. Pricing stayed where it was with 4.8, at five dollars per million input tokens and twenty-five per million output tokens, while scores on a large share of tasks sit close to Fable. Opus 5 became the default on the Max plan and the strongest model available on Pro, and it is called in the API as claude-opus-5.

Anthropicverified