Qwen 4 27B: apa yang sudah dikonfirmasi Alibaba, apa yang belum, dan apa yang harus dijalankan sebagai gantinya

Qw​en 4 27B is a named member of Aliba​ba's next Qw​en generation that you cannot download, call, price or benchmark today. The Qw​en team showed the name on stage at its Apsara Conference in Hangzhou on 22 September 2026, alongside Qw​en 4 Max, Qw​en 4 Flash and Qw​en 4 Plus, and Aliba​ba's own written release from that day says only that "Qw​en 4 is currently in training". There is no model card for Qw​en 4 27B, no repository, no API identifier, no licence, no context window, no parameter count and no release date. This page is the reference for the name: what the tier is, where it sits in the Qw​en 4 family, and exactly which facts about it exist and which do not.

One correction belongs at the top, because the model has been filed in circulation as "launched" and Aliba​ba's own material does not support that reading. As of 13 October 2026, Qw​en 4 is announced and in training. Nothing in the Qw​en 4 family has shipped, and the only Qw​en generation you can actually run is Qw​en 3.8. That gap — between a name people are already typing and a model that does not exist — is the reason this page exists rather than another announcement post.

Dari mana nama itu berasal, dan seberapa kokohnya

The firm part is short and comes from Aliba​ba directly. In its press release "Aliba​ba Unveils Roadmap on Full-Stack AI Strategy from Chips, Cloud Infrastructure, Models to Agents", dated 22 September 2026, the company states that its next-generation model, Qw​en 4, is currently in training, and that the Qw​en 4.5 and Qw​en 5 series ahead of it are projected to scale to 5 to 10 trillion parameters. That is the whole of the vendor's written statement about Qw​en 4 as a family — one sentence, no tiers, no specifications.

The tier names are firmer than a rumour and looser than a datasheet. Qw​en 4 Max, Qw​en 4 Flash, Qw​en 4 Plus and Qw​en 4 27B were presented from the conference stage by the Qw​en LLM lead, and reported out of that session in the days around 22 September. They are not carried in Aliba​ba's written release, and no specification was attached to any of the four on stage. An announcement of a tier name is a statement about a plan. It is not a statement about a model's parameter count, its context, its licence or its price, and this page will not treat it as one.

Practically, that means the name Qw​en 4 27B is confirmed as a tier of the Qw​en 4 family, and everything a purchasing or deployment decision turns on is unconfirmed. The distinction matters more here than for the flagship tiers, because the 27B tier is the one in this family with an established habit of shipping under open weights — Qwen3.5-27B, Qwen3.6-27B and Qwen3.8-27B all exist on the vendor's own Hugging Face organisation — so an announced 27B tier is read by a lot of people as a promise of downloadable weights. It is not one yet. The 27B-named repositories you can actually fetch from that same account today are Qwen3.5-27B, Qwen3.6-27B and Qwen3.8-27B, and the most recent anything under the Qw​en 4 architecture is the Qwen3.8-Flash-Next preview.

Nomor yang dilekatkan pada keluarga ini dan bukan milik model ini

The 5-to-10-trillion-parameter figure travels next to Qw​en 4 27B in search results and gets repeated as though it described the model. It does not. Aliba​ba attaches it to the Qw​en 4.5 and Qw​en 5 series — generations that come after Qw​en 4 — and the same release gives no parameter count for Qw​en 4 itself, let alone for the 27B tier.

This is worth stating on the reference page rather than leaving to a news post, because it is the single most common error in circulation about this family, and because a parameter count attached to a model with no published architecture cannot be checked in either direction. If you see Qw​en 4 27B described as part of a multi-trillion-parameter programme, the number has been borrowed from a different sentence about a different generation.

The architecture is the one part of Qw​en 4 that is genuinely public

Aliba​ba has already published the design it says the Qw​en 4 generation will be built on — not as a Qw​en 4 model, but as a shipped preview under another name. Qwen3.8-Flash-Next landed on the vendor's Hugging Face organisation on 24 August 2026, and its model card states plainly that it is "an experimental preview of the architecture that will underpin Qwen4". That sentence is the most concrete thing anyone outside Aliba​ba has about how this family is built.

Kartu tersebut menyebutkan empat komponen, semuanya dilaporkan oleh vendor dan tidak ada satu pun yang direproduksi oleh pihak independen:

• Hybrid attention with QSA — the Gated DeltaNet and Gated Attention pairing reworked so that the sparse-attention component, Qw​en Sparse Attention, selects at micro-block level rather than token level, which the card presents as the mechanism behind lower long-context latency

• Residual bergerbang — gerbang baca per elemen yang bergantung pada data dan gerbang tulis skalar per cabang pada aliran residual yang diperlebar, disajikan sebagai ukuran stabilitas pelatihan

• Embedding N-gram — penyimpanan parameter terpisah yang diindeks berdasarkan n-gram pendek, disajikan sebagai sumbu yang lebih murah untuk penskalaan parameter dibandingkan mixture-of-experts dan salah satu yang dapat di-offload

• Resep pelatihan yang disesuaikan — Muon dan AdamW diterapkan pada kategori bobot tertentu, dengan warmup ukuran batch dihilangkan

Kartu yang sama memberikan bentuk milik pratinjau itu sendiri: 125 miliar parameter utama dengan sekitar 6 miliar diaktifkan per langkah, ditambah embedding n-gram 51 miliar parameter dan head prediksi multi-token 4 miliar parameter, konteks native 262.144 token yang dapat diperluas hingga 1.000.000, serta lisensi yang dinyatakan qwen-community-1.0.

Read that as the family's architecture preview and nothing more. Aliba​ba has not said that the Qw​en 4 27B tier inherits QSA, gated residual, n-gram embeddings or the training recipe, and it has not published a parameter count, a layer layout or a context length for the tier. The preview is evidence about direction; it is not a specification of this model, and treating it as one is how a reference page turns into a rumour.

Apa sebenarnya 27B terakhir itu — satu-satunya baseline yang jujur

The useful comparison for Qw​en 4 27B is not a competitor and not the roadmap. It is the previous model to carry the same tier name on the same vendor's account, because that is what a reader will actually be upgrading from.

Qwen3.8-27B was published under the Qw​en organisation on Hugging Face in August 2026. Its model card declares Apache 2.0, describes a causal language model with a vision encoder, and gives these figures, all vendor-reported and all from that card unless noted:

• Parameter — 27 miliar, padat; 64 lapisan; dimensi tersembunyi 5.120; hibrida blok Gated DeltaNet dan Gated Attention dengan prediksi multi-token yang dilatih selama beberapa langkah

• Konteks — 262.144 token secara native, dapat diperluas hingga 1.000.000

• Modalitas — gambar dan video masuk, teks keluar, dengan pemahaman visi-bahasa yang digambarkan sebagai bawaan, bukan tambahan yang ditempelkan

• Kontrol berpikir — mode berpikir aktif secara default dan dapat dialihkan per permintaan, dengan kedalaman penalaran disetel melalui pengaturan upaya penalaran dan konteks penalaran dipertahankan lintas giliran

• Hosted figures — on Aliba​ba's own Qw​en Cloud page for the model, $0.50 per million input tokens and $3.00 per million output tokens, cache reads at $0.05 and implicit-cache input at $0.10 per million, a maximum output of 131K tokens against a 1M-token context, 5M tokens and 5K requests per minute

Two cautions attach to that list. The first is that the model card says the hosted version of Qwen3.8-27B is "coming soon" while the vendor's Qw​en Cloud page for the same model already carries pricing and a working API sample; where the two disagree, the live product page is the newer material. The second is that none of these numbers tells you anything about Qw​en 4 27B. A predecessor's specification sets the bar a successor is judged against, and that is the whole of its relevance. There is no head-to-head between Qw​en 4 27B and any other model at matched harness and matched effort, because one side of that comparison does not exist.

Spesifikasi yang tidak ada

Inilah bagian yang paling sering diisi dengan inferensi oleh sebagian besar ringkasan. Berikut setiap dimensi, beserta apa yang telah dipublikasikan oleh vendor:

• Release date — not published. No date has been given for any Qw​en 4 tier.

• Jumlah parameter — tidak dipublikasikan. "27B" adalah nama tier; Aliba​ba belum mengonfirmasi model dense 27 miliar parameter, dan belum mengatakan apakah tier ini dense atau sparse.

• Architecture — not published for this tier. The Qw​en 4 architecture preview described above is the family's, not this model's.

• Jendela konteks — tidak dipublikasikan.

• Output maksimum — tidak dipublikasikan.

• Modalities in and out — not published. The previous 27B tier being vision-language does not make this one vision-language, and the Qw​en 4 family containing a multimodal preview does not either.

• Lisensi — tidak dipublikasikan. Tidak ada kartu untuk mendeklarasikannya, dan tier ini tidak memiliki repositori untuk melampirkan file lisensi.

• Weights — not obtainable. There is no Qw​en 4 repository on the vendor's Hugging Face organisation, nothing on its model hub, and no download of any kind.

• Price, free tier, rate limits — none published, and none published for any Qw​en 4 tier. There is no endpoint, so there is no price card, no trial, no credit grant and no rate limit to quote.

• Benchmarks — none, vendor or independent. No Qw​en 4 model appears on a public leaderboard, no harness has been run against one, and no date can be attached to a score because there is no score. Any benchmark number you see attached to Qw​en 4 27B is not a measurement of Qw​en 4 27B.

Apa yang bisa Anda jalankan hari ini, dan di mana

Nothing in the Qw​en 4 family, on any platform. Aliba​ba has published no Qw​en 4 identifier, and there is nothing to route to.

On our own side, that claim is checked rather than assumed. OrcaRouter's live model list, read on 13 October 2026, returns 207 model identifiers and contains no entry matching any Qw​en 4 tier under any spelling. We do not serve Qw​en 4 27B, and this page will not imply otherwise. What the same list does carry is the previous generation: Qwen3.8-27B, Qwen3.8-Flash, Qwen3.8-Max and the Qwen3.8-Max-0902 snapshot, alongside more than 200 other models on one API.

That is the honest answer to "how do I get a response from Qw​en 4 27B today": you cannot, and the nearest thing that answers the same workload is the model the tier will replace. If the point of the exercise is to find out whether a Qw​en 27B-class dense model fits your work, running Qwen3.8-27B costs a call and settles the question now; the Qw​en 4 tier settles nothing until it has a card.

Ada juga alasan yang berorientasi ke depan untuk menjaga pertanyaan perutean tetap terpisah dari pilihan model. Kami merutekan lebih dari 200 model melalui satu API, pada harga daftar penyedia tanpa tambahan apa pun, sehingga perubahan harga Aliba​ba berlaku pada kunci Anda pada hari yang sama, bukan pada siklus penagihan berikutnya, dan failover otomatis berarti model yang masih Anda evaluasi berada di belakang rantai fallback, bukan di jalur kritis. Struktur itu sebaiknya sudah ada sebelum tier baru tiba, bukan setelahnya — minggu ketika model open-weight 27B dirilis adalah minggu ketika setiap endpoint yang melayaninya sedang dibebani.

Apa yang akan mengubah halaman ini

A reference page for an unshipped model has a short list of events that would make it wrong, and it is more useful to name them than to hedge. Any one of the following would turn Qw​en 4 27B from an announced tier into a model: a model card on the Qw​en organisation, weights in any format, a declared licence, a published parameter count and layer layout, a context and maximum-output figure, a modality list, an API identifier, a price, or a date.

Until one of those exists, the correct description of Qw​en 4 27B is the one Aliba​ba gave: a named tier of a generation that is in training. Everything else on the stem is inference, and the inference is doing a lot of work right now. The Qw​en 4 Max tier is the model most of that inference actually describes, and the Qw​en 4.5 and Qw​en 5 roadmap is where the parameter numbers come from; neither of them is this model.

Satu hal yang layak dilakukan sebelum bobotnya dirilis adalah memutuskan apa yang perlu Anda lihat untuk berpindah. Catat panjang konteks, lisensi, dan harga yang akan membenarkan migrasi dari Qwen3.8-27B, lalu periksa semuanya terhadap kartu itu saat muncul. Lembar spesifikasi yang diterbitkan jauh lebih mudah dibaca daripada peta jalan, dan tier ini punya rekam jejak dalam merilis, yang merupakan alasan untuk mengawasinya, bukan alasan untuk merencanakan berdasarkan hal itu.