1 · First-hand posts from people with preview access
Where named people describe actually running a Qwen 4 preview or the Qoduck stealth model.
Hands-on claimX / Twitter · Nov 6
Source: @coffeecup2020 on X — quoted across r/LocalLLaMA as the flagship tester quote
Exact quote: "Qwen 4.0 (preview) is here. It is on par with Astra, Opus 5.5 as far as I can see. This is just early testing snapshot."
- The single most-shared first-hand claim of the weekend; spread to Reddit within hours.
- Note the hedging built in: "as far as I can see," "early testing snapshot."
Caveat: semi-anonymous account, no shared receipts/benchmarks — treat as a data point, not a result.
Access routeX / Reddit · Nov 6–7
Source: @loktar00 on X, linked from the r/LocalLLaMA hype-check thread
- Explains how regular people are getting preview tokens right now: an ambassador/early-partner program plus Qwen Code early access.
- Corroborated in Reddit comments: "There is preview access on their website and rumored access on arena."
Hands-on threadReddit r/LocalLLaMA · Nov 7
Source: r/LocalLLaMA thread by u/Consistent_Berry_324
- OP reports Qoduck (the free Qoder stealth model) appears to have native image AND video generation output — not just text — which commenters find hard to believe for a Flash/27B tier ("One model to rule them all").
- Thread discusses whether that's true omni output vs. tool-calls to a separate generator; someone recalls the rumored "Qwen 4 Flash Omni" naming.
Caveat: the video-gen observation is one person's screenshot; nobody has proven the mechanism yet.
Reality checkReddit r/LocalLLaMA · Nov 6
Source: r/LocalLLaMA thread by u/Terminator857
- The necessary counterweight: preview ≠ release. Points to the official Qwen Hugging Face page as the place to watch for real weights.
- "It's probably been in arena for a while under a different codename… the race to download them will be insane."
DiscussionReddit r/LocalLLaMA · Nov 7
Source: r/LocalLLaMA (mod u/ttkciar)
- Claim circulating: the lineup will skip small tiers — no 4B / 9B / 35B MoE, so 8GB-GPU owners may wait for a "Flash" variant.
- Sharp catch from a commenter: Alibaba quietly polished the Qwen3.8-Flash-Next model card on ModelScope (benchmark-table styling commits) — classic "prepping the house before guests arrive" release behavior.
Leak trailX / GitHub · Nov 3
Source: @IntCyberDigest on X, tracking a Qwen Code repo merge from Oct 28
- Merged code names qwen4-coder-plus and tests reference qwen4-omni-120b-think; every "qwen4" model ID got a 1M-token context default.
- The engineer who wrote it called the 1M figure an inference from naming, not a measured capability — a detail most hype threads dropped.
Origin threadReddit r/LocalLLaMA · Oct 23
Source: r/LocalLLaMA
- The original Arena claim: an anonymous checkpoint called Kalmia had fingerprint characteristics matching Qwen models.
- Includes early skepticism that still holds: Arena leaderboard screenshots for unreleased models are assumptions, not verified lineups — "people faking AA benchmarks for unreleased models."
2 · Articles that got it right (sober, dated, sourced)
The strongest written coverage from the last few days — each one separates confirmed from rumor.
ArticleStartup Fortune · Nov 8 · ~4 min
Ron Patel — the most concrete Qoduck writeup, built on Qoder's own docs
- Qoduck appeared Nov 7; individual plans (Free → Ultra) get a daily allowance at zero credits at any thinking level, then 0.5× the standard rate. Team/Enterprise are excluded. End date "yet to be determined."
- Alibaba Cloud's official X line: a stealth model — "Don't ask where it came from."
- The "it's Qwen 4" case is laid out and then deflated: circumstantial (0.5× rate, rumored 1M context, Nov 6 teaser timing). No independent benchmark exists, and Qoder itself warns responses may be slow at peak — early users confirm.
- Best practical advice of anything read: run it on a real repo at the hours you actually work, and compare against what you pay today.
TrackerCellCog · updated Nov 7
A living tracker that logs confirmed facts with dates; explicitly notes "no specs, no benchmarks, no price" for Qoduck beyond its 0.5× credit rate, and that no Qwen 4 repo exists on Hugging Face.
Evidence logStealthModels · Nov 7
Tracks anonymous Arena models day by day: Kalmia left the Arena Oct 23 and returned with new checkpoints registered that night and the next; tokenizer quirks point to the Qwen family — "but not to Qwen 4 by name." As of Nov 7: no weights, no model card, and Qwen's LLM lead publicly saying the series is "about to arrive."
SkepticShattered.io · early Nov
The counter-narrative: after 470 models of open-weight history, Qwen 4's launch behavior (closed preview, teaser, stealth API model) has the community worried the release tier might not be fully open-weight. Good balance to the hype.
ContextFelloAI + Yotta Labs · Nov 5–7
Two careful explainer posts. Useful for the timeline (Qwen 3.5 shipped Feb 2026; Flash-Next previewed the Qwen 4 architecture Aug 26; Sep 22 Apsara confirmed Max/Plus/Flash/27B tiers "in training") and both are explicit that as of Nov 5–7 no date, price, or weights existed.
3 · YouTube — people actually testing it (summaries from closed captions)
Every summary below was written from the video's own transcript, not the title. Duration and dates verified against YouTube.
Early accessWorldofAI · Nov 7 · 17:54 · ~168K views
Biggest-channel hands-on of the weekend — the creator shows his own screen with early Qwen 4 access inside Qwen Code.
- What he ran: a full Minecraft clone — shaders, day/night cycle, inventory, caves, lava, mobs, sound effects — built autonomously; a Roman Colosseum scene (~69K tokens on plain "high" thinking); an Arena battle where the "Curio" checkpoint beat GPT-6.1-Terra on a 2D-RPG-village prompt in his judgment ("more lively"); and a Hermes-agent-built interactive bioreactor/insulin simulation that correctly modeled oxygen-stall → alarm.
- Feedback he gives: dramatically better visual taste and web-dev capability than Qwen 3.8; calls it closest thing he's seen to early Opus/Fable-level output from an open-weight team. Minor gripes: slower generations, a small bug trapping the player underwater.
- Also reports: early partners/beta testers got access Nov 7; a partner accidentally posted then deleted a Qwen 4 Max promo image showing 1M context, image support, tool calling, and a free-token launch promo; Arena codenames Kalmia/Kiria/Enzia/Mura; the Alibaba Cloud CTO said "next week" at Apsara Amsterdam (Oct 29).
Caveat (his own): "we truly do not know which model this is" — Max or otherwise unconfirmed. Sponsored mid-roll (Krisp); enthusiastic tone, but the demos are his own runs, not official numbers.
Live bake-offMG · Nov 8 · 10:19 · ~3.0K views
The most concrete apples-to-apples test of Qoduck so far — same prompt, same real app, 10-minute timer.
- The race: he adds a "jet-lag coach" agent feature to his real 8-month-old wearables app (WellView AI) simultaneously in Claude Code/Opus 5.5 and Qoder/Qoduck. Qoduck finished in ~7 minutes; Opus 5.5 hit the 10-minute cap unfinished. Output quality: followed the app's theme, working map and flight path — respectable.
- Evidence chain he assembles: Aug architecture preview whose config literally says "qwen4_exp"; Sept "in training" announcement; Oct 28 repo merge sizing qwen4 at 1M context; Nov 6 teaser; Qoduck Nov 7 — then he hedges honestly: the duck is Qoder's mascot (name proves nothing) and Qoder gave away a DeepSeek model for free last month too.
- Architecture rundown (from the Flash-Next preview): gated DeltaNet linear attention on 3 of 4 layers + a top-k indexer over ~512 blocks, 125B params / 512 experts with ~11 active (~6B), a 20M-phrase lookup table (~51B params), four gated residual lanes — "a model built for agents."
Caveat: single run; queue time could be in the durations; Opus got a timeout it didn't need.
Detective workAmplify Imagination · Nov 8 · 4:33 · ~1.1K views
Shortest but most rigorous Qoduck analysis — argues both sides before landing a verdict.
- For: Qoder is Alibaba's; "don't ask where it came from" is Alibaba's own line; timing (CTO "next week" → teaser → Qoduck next day); a tester's tokenizer-fingerprint check says Qwen family; 1M-context switch matches the Oct repo change.
- Performance anecdotes: same prompt: Qoduck built an app in 29.5 min vs Qwen 3.8 Max's 1h55m; beat DeepSeek V4.1 Flash 40 min vs 70. (Single runs, queue noise possible.)
- Against: no model card, no weights, no API; the earlier Arena codenames (Kalmia/Kiria/Kintia) were "confirmed Qwen 4" too — and never were.
- Verdict: probably a Qwen 4 model; can't tell tier — pricing signal points to Max, speed points to 27B (it has a draft-module that speculates 4 tokens ahead). Ends promising real local benchmarks the day weights drop.
Named-tester roundupNewEraAi · Nov 8 · 12:25 · ~500 views
Most useful because it attributes each preview claim to a named person instead of "people say."
- David Wan: a Qwen 4 27B preview is live, initial results look good, sample output has "more detail than Qwen 3.8 27B," model still being hot-swapped.
- Vincent Yu: his team has invite access to a Qwen 4 build of unknown size; "beating Qwen 3.8 Max in human eval, mostly similar on other bench — if this is a small model it's beating even the big ones."
- Joey: "Qwen 4 is in my hands and I can't stop grinning" — single-prompt N-body gravity sim, hundreds of bodies, live in browser.
- Rich (Atom Studio): same prompt/thinking level, Qwen 3.8 Max vs Qoduck — the "Qoduck is worse than Max" claim is "simply not true" in his test. Fatih: the checkpoint is second only to Opus 5.5 on his game-dev benchmark, "state-of-the-art for open source" (own benchmark, take carefully).
- Also: Unsloth replying "we are so ready" to running Qwen 4 locally; teaser viewed 2.5M times; explicit pushback quoted ("Opus 5.5 will not be beaten anytime soon").
Caveat: news roundup; it repeats others' claims — but at least it names them and labels each as unconfirmed.
Skeptical deep-diveExtrude Studio · Nov 7 · 11:37 · ~6.8K views
The intelligence check of the weekend — the best "how should you evaluate these demos" video.
- Separates interactive demos (Lenia cells that regrow when cut, an oxygen-slider bioreactor — both built with a Hermes agent and early Qwen access) from benchmark claims: on the model card, Flash-Next is 91.7 vs Claude Opus 4.6 Max's 91.3 on GPQA Diamond, but the order flips on Humanity's Last Exam (35.9 vs 40) — "I wouldn't buy a service on one row."
- Corrects two circulating errors: the "1M context" line in Qwen Code is a client-side fallback for model names, not a measured capability; the Arena agent-leaderboard row shown for Qwen is for Flash-Next 3.8, not a Qwen 4 result.
- Explains the million-token spec natively vs extended (≈262K native on the published checkpoint).
- Best advice on the page's whole topic: freeze a commit in your own repo, give each model identical instructions/tools/time budget, run the tests, read the diff before the model's summary — "the question I keep coming back to is: what happens on the second attempt?"
Original previewBijan Bowen · Aug 26 · 31:52 · ~111K views
Background: the day the actual Qwen 4 architecture preview (Qwen3.8-Flash-Next) landed in August — a long-form agentic-coding stress test.
- Built a retro "browser OS" (period-accurate screensavers, email client, Time Machine snapshots), then a C++ low-poly rally game with no reference material — drifting, crashes, crowds, menu, E-brake — after explicitly banning raylib.
- His verdict, from the transcript: "this is a result that would have eclipsed a state-of-the-art model from a year ago… the fact that this is a preview model of the next generation should be very, very bullish."
Deployment mathSelf Hosted Ai tools · Sep 7 · 10:35 · ~2.5K views
Background math on running the August Qwen 4-architecture preview locally — unusually honest about limits.
- Memory tiers: ~75 GB RAM works with Unsloth's 1-bit build (zero VRAM); 4-bit needs ~96–130 GB. Real first-week numbers: DGX Spark ~25 tok/s from NVMe; M5 Max 128GB ~60–73 tok/s.
- Documented week-one problems: occasional non-terminating "reasoning loops" (community + Qwen's own report), measurably verbose output (200M tokens burned on Artificial Analysis's index vs 110M median), and a license catch: reselling it as a coding-assistant API needs a separate commercial deal.
- API pricing anchor: $0.15 in / $0.47 out per million tokens, flat to 1M context.