AI Model Releases: October 2026 Tracker and Dated Ledger

October 2026 opened without a frontier launch and with a cluster of small, specialised models instead. On October 1 Cloudflare and Amazon each released open-weight decision models, Microsoft AI released two text-to-speech models and a streaming transcription model, and Tavus previewed a full-duplex video model to invited testers. On October 2 Bilibili’s Index team published the preview of a 35B-total, 3B-active translation model. This page records each one on the vendor’s own date and is refreshed in place through the month.

Editorial note: Opened October 3 as an October 1, 2026 dispatch. Rows and listings dated October 2 postdate the dateline and were collected on October 3 with the rest; rows added after October 3 carry the date they were added. Facts are as of October 3 unless a row says otherwise.

One row per model, dated from the vendor’s announcement. Where a vendor released two sizes in one post they share a row. The primary column names the page each row was read from; the linked sources are collected in the method section.

The two decision-model rows are the month’s first story, and they have their own page: open decision models compared puts Clef, Clef-flash and Decider 2B beside TypeSafe’s Jev on licence, size, context and the vendor’s benchmark rows.

Microsoft’s post attaches two claims to the Flash voice model that are the vendor’s own and unverified here: that inference is 55% faster and roughly 60% cheaper than comparable models, and that it produces 45 seconds of audio at 150 milliseconds end to end. Our September ranking of text-to-speech models is where the two voice models will be scored once listener data exists.

The frontier model in the news this week is not in the ledger, because it was announced in September and is not yet generally available. Google announced Gemini 4 Argon on September 30 as rolling out to a set of trusted cyber defenders through its Fairwind programme, with an introductory price of $2 per million input tokens and $10 per million output tokens and cached input at 95% off. The post gives no date for developers, enterprises or consumers. Our Argon page tracks that date.

Three September releases sit just outside this ledger and are not counted here: Together’s Tev1 4B experimental, published on GitHub and Hugging Face on September 23 and listed on OpenRouter on September 30; Inception’s Mercury Decide, listed on OpenRouter on September 30 with no vendor page located; and Bilibili’s dense Index-Translate 2B and 9B, on Hugging Face since September 28, which the October 2 preview extends. The two decision models are covered in decision models that return probabilities, not text. The month before this one is in the September tracker.

The pattern is the inverse of September’s opening, which brought three frontier models in two days. This month began with models that do one thing: decide, speak, transcribe, translate, or hold a face-to-face conversation. Two of the five vendors are infrastructure companies, Cloudflare and Amazon, releasing weights rather than selling tokens. That is consistent with where decision models sit in an agent: close to the tool call, where a hosted round trip is the cost.

For a buyer, the practical reading is that none of the October rows replaces a model already in production. They add a new slot: a cheap check before an action, a voice that keeps its identity across languages, a translator with open weights. The question to ask of each is not “is it better than the frontier” but “what does it let me stop sending to the frontier”. Our AI transformation work starts from that question.