https://www.vaanalytics.in/lab/alibaba Changes and news for alibaba models: releases, price moves, deprecations. Mon, 14 Sep 2026 02:46:26 GMT https://shattered.io/abacus-ai-smaug-open-weight-models-2026 1pg2pai Sun, 13 Sep 2026 00:45:43 GMT Smaug Mini is the smallest of the three, based on Qwen3.8 27B and aimed at compact multimodal tasks where a lighter model is cheaper to run at scale. Abacus.AI describes Smaug Mini as suited to smaller, high-volume jobs rather than the deep multi-step reasoning chains that Smaug Agentic is built for. Between the three, Abacus.AI is effectively offering a size ladder: pick Mini for cheap, high-volume multimodal tasks, Flash for always-on agents with long context, and Agentic for the hardest [...] According to Abacus.AI’s own materials on its open-source page, the underlying methodology combines human-curated, real-world agentic traces with synthetic data grounded in hard examples, then applies that single training recipe across three different open-weight bases: Smaug Flash on DeepSeek V4 Flash, Smaug Mini on Qwen3.8 27B, and Smaug Agentic on Kimi K3. That’s a notable design choice: rather than building one model and shrinking it, Abacus.AI runs the same fine-tuning process across three [...] | Model | Base model | Parameter scale | Primary use case | --- --- | | Smaug Agentic | Kimi K3 | 2 trillion | Complex coding, long-running agentic loops | | Smaug Flash | DeepSeek V4 Flash | Not disclosed | Always-on enterprise agents, long context, heavy tool use | | Smaug Mini | Qwen3.8 27B | 27 billion | Compact multimodal tasks, high-volume jobs | ## The Fine-Tuning Technique Behind the 15-20% Gain https://hackernoon.com/9-12-2026-techbeat 139fsba Sat, 12 Sep 2026 14:00:00 GMT By @noufalb [ 13 Min read ] AI is removing routine junior work, but those tasks also helped build expertise. Companies may be trading short-term productivity for long-term capability debt. Read More. ## Qwen3.8-27B Cold Fusion Cuts Thinking Tokens Without Sacrificing Performance TechBeat's image-308238 By @aimodels44 [ 9 Min read ] Explore Qwen3.8-27B Cold Fusion, a 27B AI model designed to cut thinking tokens while retaining strong quantized reasoning performance. Read More. https://pasqualepillitteri.it/en/news/15529/deepseek-v41-flash-748-billion-native-vision gcca94 Fri, 11 Sep 2026 16:40:00 GMT #### Qwen3.8-Flash-Next goes open source and revives DeepSeek's n-gram idea DeepSeek Launches V4-Flash-Vision-Exp: Cheap Model Now Sees Images, Takes On Opus 4.8 #### DeepSeek Launches V4-Flash-Vision-Exp: Cheap Model Now Sees Images, Takes On Opus 4.8 MiniMax M3: the Chinese Open-Weights Model Taking On GPT-5.5 #### MiniMax M3: the Chinese Open-Weights Model Taking On GPT-5.5 IFM Releases K2 Horizon, Six Open Models From 0.9B to 375B With the Training Data [...] The number circulating most, the 552 billion, is only the skeleton. On top goes an n-gram of roughly 200 billion, bringing the real count to 748 billion, the same technique we saw relaunched with the n-grams of Qwen3.8-Flash-Next. Forum users mocking the "half-terabyte Flash" caught the right paradox. The model is built to run fast and cost little in production, not to sit comfortably on a laptop. [...] ## Conclusions V4.1 Flash is a frontier multimodal model with MIT weights, matching Opus 5 on agentic coding and costing a fraction of the price. The price to pay is bulk. Whoever has the 512 GB brings it home and works offline, everyone else goes through the discounted API. The Hangzhou house keeps making the same move, raising the bar and lowering the bill. Enjoyed the article? ### Related Articles Qwen3.8-Flash-Next goes open source and revives DeepSeek's n-gram idea https://opencode.ai/data/compare/alibaba/qwen2-5-coder-32b-instruct/alibaba/qwen3-8-max-0902 zkiw5d Fri, 11 Sep 2026 11:00:00 GMT Compare Qwen2.5-Coder-32B-Instruct from Alibaba and Qwen3.8 Max 0902 from Alibaba on key metrics including benchmarks, price, context length, usage, https://www.vaanalytics.in/m/alibaba/qwen3.8-flash 72bcb366e87c Fri, 11 Sep 2026 00:00:00 GMT cost.input: 0.16 → 0.14; cost.output: 0.47 → 0.42 https://vocal.media/01/i-built-a-256gb-e-waste-ai-rig-to-escape-token-fees-heres-what-nobody-tells-you k0cwff Thu, 10 Sep 2026 11:00:00 GMT Configuration: dual X99, two E5-2696 v4, 128GB DDR4, four CMP 170HX unlocked to 64GB each, 256GB VRAM total. Qwen3.8 Flash-Next official native version, TP2\PP2, 1M context. About 60 tok/s single stream, about 450 tok/s at 16 concurrent. About 11 kWh per day. It is now my main machine. It writes code and runs tasks with almost no cache hit rate. I have deployed DSV4F, DSV4F Exp, and Qwen3.8 27B locally. I kept Qwen3.8 Flash. On my tasks, it beats DSV4F and GLM5.3 Flash. [...] Know the boundary. Qwen3.8 Flash is a fast typist, not a universal brain. Complex logic, long-chain reasoning, and cross-domain knowledge integration go to cloud API. Local handles frequent, private, cost-sensitive work. Cloud handles rare, hard, high-value work. Squeeze VRAM. With 256GB VRAM, deploy speculative decoding or Medusa heads. Use idle VRAM for a 2B draft model. Single-stream speed jumps to 90+ tok/s. Free performance. [...] Qwen3.8 Flash balances capability, speed, VRAM, power, and engineering complexity. Token freedom has three layers. Physical freedom: you have VRAM, compute, and concurrency. The model runs and serves multiple requests. 256GB VRAM, TP2\PP2. 60 single-stream, 450 at 16 concurrent. That is productivity. https://vir.com.vn/lattepanda-unveils-micro-compute-module-delivering-115-tops-for-ai-160490.html 1sbnm51 Thu, 10 Sep 2026 07:59:48 GMT In testing, LattePanda Mu Ultra achieved text generation speeds of 18 tokens/s with Qwen3.5-9B and 55 tokens/s with Qwen3.5-2B, using INT4 quantization with OpenVINO GenAI on the iGPU. These results demonstrate its ability to support responsive, local conversational AI without cloud inference. This makes it suitable for applications such as local voice assistants, offline document processing, and private knowledge retrieval, keeping sensitive data on the device. [...] Display Output: - Up to 3 × HDMI / DisplayPort - 1 × eDP Dimensions: - 69.6 × 60mm [...] Upgrade with a Modular Design LattePanda Mu Ultra retains the standardized form factor and connector of the LattePanda Mu family and is largely compatible with existing carrier boards. When paired with the 3.5-inch Lite Carrier Board, Mini Carrier, or M.2 M Key Carrier Board, it enables users to upgrade existing systems without redesigning the entire carrier board. https://etfdb.com/disruptive-technology-content-hub/16-developments-for-investors-ai-robotics-2026 x822pl Wed, 09 Sep 2026 17:00:00 GMT ## 5. Alibaba expanded developer options with open Qwen weights THNQ index constituent Alibaba Group Holding (BABA), the commerce and cloud-computing company, released Qwen3.8-Flash-Next in August 2026. It made the model’s weights, the numerical settings learned during training, available for developers to deploy and adapt under its license. [...] Faster inference can shorten the repeated cycles agents use to code, research, call tools, and complete complex tasks. Taken alongside Qwen’s more efficient architecture, GLM’s lower-cost open models, and OpenAI’s custom Jalapeño processor, the Cerebras partnership shows how broadly the industry is attacking inference economics. Improvements across model design, silicon, and computing architecture could expand the range of AI workloads that become economically practical. [...] AI agents are becoming more persistent and connected. Hark partnered with NVIDIA, while private payments company Stripe agreed to acquire OpenRouter, connecting payments with access to more than 400 AI models. Inference is becoming a systems-level competition. Qwen, GLM, OpenAI/Broadcom, and Cerebras are attacking cost and latency through model architecture, open weights, custom silicon, and alternative computing platforms. https://technosports.co.in/run-qwen-3-8-locally-rtx-5090 1qylikq Wed, 09 Sep 2026 15:09:48 GMT Qwen 3.8-27B ships under an Apache 2.0 license, Alibaba’s usual choice for its open releases, which means it’s free to use commercially with no restrictive clauses to navigate. Combined with native image and video understanding baked into the same 27B checkpoint, that makes it a genuinely capable local alternative to closed, subscription-gated multimodal APIs. You can review the full model card, weights, and benchmark details on Qwen’s official Hugging Face page. [...] Qwen 3.8 is the newest generation in Alibaba’s open-model family, and it ships in two very different tiers. There is a massive 2.4T-parameter “Max”-class checkpoint that is cloud-only and never intended for consumer hardware, and there is Qwen 3.8-27B, a dense, deployment-friendly model that is fully open-weight under an Apache 2.0 license and built specifically to run on local hardware like a single RTX 5090. When people talk about running Qwen 3.8 locally, the 27B release is the one that [...] If you’d rather have a graphical chat interface instead of the command line, LM Studio is the most polished option and it lists Qwen 3.8 directly in its model catalogue. Open LM Studio, search for “Qwen3.8” in the Discover tab, choose the 27B GGUF build sized for your VRAM, download it, and load it from the My Models tab. LM Studio also exposes a local OpenAI-compatible server, so you can point existing apps at it exactly the way you would an OpenAI endpoint. https://www.interconnects.ai/p/latest-open-artifacts-24-motif-3 1ly9t9f Tue, 08 Sep 2026 14:00:00 GMT ∙ Paid Avid Artifacts readers know that we have been covering not only models but also their licenses for quite some time. There was a period when custom licenses were all the rage, for example the custom Qwen2.5 72B-Instruct license or the Llama licenses. DeepSeek had a custom license for DeepSeek V3 before R1 changed it to MIT, which has resulted in many (Chinese) model makers adopting MIT or Apache 2.0 licenses in 2025. [...] View more details on all the models in this issue at our Artifacts Hub. Visit artifactshub.ai ### Models #### General Purpose [...] > If the Licensee or any of its affiliates operates a Model as a Service business, and the aggregate revenue of the Licensee and its affiliates exceeds 10 billion US dollars (or the equivalent in other currencies) in total over any consecutive 12 months, the Licensee must pass Z.AI’s security review before using the Software or its derivative works for any commercial purpose. The scope and method of the security review shall be reasonably determined by Z.AI. https://www.tomshardware.com/tech-industry/artificial-intelligence/benchmarking-qwen-3-8-27b-on-rtx-5090-and-beyond-vram-capacity-alone-cant-overcome-severe-software-and-inference-engine-bottlenecks b36gze Tue, 08 Sep 2026 13:30:02 GMT # Benchmarking Qwen 3.8 27B on RTX 5090 and beyond — VRAM capacity alone can't overcome severe software and inference engine bottlenecks We test a host of powerful hardware. Alibaba’s Qwen 3.8 27B open-weight AI model came out a couple of weeks ago, and it immediately created a wave of hype among local AI enthusiasts thanks to its impressive intelligence benchmark results for a model of its size and capabilities. [...] Totaling around 17GB for four-bit quantized weights and offering built-in multimodal capabilities on top of its general aptitude, Qwen 3.8 27B immediately grabbed the attention of everybody with an RTX 5090, RTX 4090, or RTX 3090 (as well as a Radeon RX 7900 XTX, Radeon AI Pro R9700, or Arc Pro B70). [...] It's one thing if you just want to chat with a model and see what happens; it's another entirely if you want to put it to work, especially as impatient agents take the limits of human perception out of the picture. We wanted to see what hardware and software stack Qwen 3.8 27B really wants in order to deliver solid performance, so we ran it on systems ranging from a desktop PC with discrete GPUs to systems with unified memory architectures like the DGX Spark, Mac Studio, and Ryzen AI Halo. https://pasqualepillitteri.it/en/news/14642/qwen3-8-flash-next-local-qwen4-preview 143omxk Mon, 07 Sep 2026 02:00:00 GMT & Tutorials 2 Guides & Tutorials AI for Professionals 1 AI for Professionals Reports & Analysis 2 Reports & Analysis Finance 1 Finance Agent Infrastructure 1 Agent Infrastructure [...] · 7 min read Claude Code self-hosted keeps your code in-house, but not the AI model Claude Code & Anthropic #### Claude Code self-hosted keeps your code in-house, but not the AI model · 10 min read Astra is late to paid plans, OpenAI hands out a reset for every day of the wait AI News & Trends #### Astra is late to paid plans, OpenAI hands out a reset for every day of the wait · 7 min read IFM Releases K2 Horizon, Six Open Models From 0.9B to 375B With the Training Data [...] Most Read AI News & Trends 20 AI News & Trends Videogiochi 1 Videogiochi Cybersecurity 20 Cybersecurity Google AI & Gemini 12 Google AI & Gemini Apple 4 Apple Automotive Tech 2 Automotive Tech Diritto & Normative 2 Diritto & Normative Claude Code & Anthropic 4 Claude Code & Anthropic Prompt Engineering 1 Prompt Engineering Benchmarks & Comparisons 1 Benchmarks & Comparisons Intelligenza Artificiale 1 Intelligenza Artificiale Guides & Tutorials 2 https://www.vaanalytics.in/m/alibaba/qwen3.8-max-0902 392c153735df Thu, 03 Sep 2026 00:00:00 GMT description: "Qwen3.8 Max 0902 is Alibaba's September 2 checkpoint of its flagship Qwen3.8 Max model for coding, knowledge work, data analysis, and long-running agent workflows. It supports text, image, video, PDF input, selectable thinking, tool calling, structured output, and a near-million-token context window." → "2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding"; family: "qwen3.8-max" → "qwen" https://www.vaanalytics.in/m/alibaba/qwen3.8-max-0902 60a380ba63e9 Thu, 03 Sep 2026 00:00:00 GMT family: "qwen3.8-max" → "qwen"; release_date: "2026-09-01" → "2026-09-02"; last_updated: "2026-09-01" → "2026-09-02" https://www.vaanalytics.in/m/alibaba/qwen3.8-flash-next 5f25168b0e11 Mon, 31 Aug 2026 00:00:00 GMT model_added: Qwen 3.8 Flash Next via vercel https://www.vaanalytics.in/m/alibaba/qwen3.8-27b 865458db56de Sat, 29 Aug 2026 00:00:00 GMT cost.input: 0.55 → 0.5; cost.output: 3.3 → 3; cost.cache_read: 0.11 → 0.1; cost.cache_write: null → 0.625 https://www.vaanalytics.in/m/alibaba/qwen3.8-flash 020a95080d07 Fri, 28 Aug 2026 00:00:00 GMT model_added: Qwen3.8 Flash via alibaba https://www.vaanalytics.in/m/alibaba/qwen3.8-flash 3b58faa4aa90 Fri, 28 Aug 2026 00:00:00 GMT model_added: Qwen3.8 Flash (Alibaba Cloud) via llmgateway-providers https://www.vaanalytics.in/m/alibaba/qwen3.8-2.4t-a95b eb2f44e3928b Fri, 28 Aug 2026 00:00:00 GMT limit.output: 131072 → 128000; cost.cache_read: 0.2 → 0.25 https://www.vaanalytics.in/m/alibaba/qwen3.8-flash 1b60c8aa0a51 Thu, 27 Aug 2026 00:00:00 GMT model_added: Qwen 3.8 Flash via vercel https://www.vaanalytics.in/m/alibaba/qwen3-coder-480b-a35b-instruct 4e7e4e20c82d Thu, 27 Aug 2026 00:00:00 GMT cost.tiers: [] → [{"minContext":32000,"rates":{"input":2.7,"output":13.5,"cacheRead":null,"cacheWrite":null,"reasoning":null,"inputAudio":null,"outputAudio":null}},{"minContext":128000,"rates":{"input":4.5,"output":22.5,"cacheRead":null,"cacheWrite":null,"reasoning":null,"inputAudio":null,"outputAudio":null}}] https://www.vaanalytics.in/m/alibaba/qwen3-coder-30b-a3b-instruct 6d6bd901665d Thu, 27 Aug 2026 00:00:00 GMT cost.tiers: [] → [{"minContext":32000,"rates":{"input":0.75,"output":3.75,"cacheRead":null,"cacheWrite":null,"reasoning":null,"inputAudio":null,"outputAudio":null}},{"minContext":128000,"rates":{"input":1.2,"output":6,"cacheRead":null,"cacheWrite":null,"reasoning":null,"inputAudio":null,"outputAudio":null}}] https://www.vaanalytics.in/m/alibaba/qwen3.8-flash 92b2d48d004e Thu, 27 Aug 2026 00:00:00 GMT model_added: Qwen3.8 Flash via nano-gpt https://www.vaanalytics.in/m/alibaba/qwen3.5-397b-a17b 1433afebee7f Tue, 25 Aug 2026 00:00:00 GMT model_added: Qwen3.5 397B-A17B via cloudflare-ai-gateway https://www.vaanalytics.in/m/alibaba/qwen3-max 25d66cfedacb Tue, 25 Aug 2026 00:00:00 GMT model_added: Qwen3 Max via cloudflare-ai-gateway https://www.vaanalytics.in/m/alibaba/qwen3.7-plus 63e67a8112b6 Tue, 25 Aug 2026 00:00:00 GMT model_added: Qwen3.7 Plus via cloudflare-ai-gateway https://www.vaanalytics.in/m/alibaba/qwen3.7-max 727774ac7252 Tue, 25 Aug 2026 00:00:00 GMT model_added: Qwen3.7 Max via cloudflare-ai-gateway https://www.vaanalytics.in/m/alibaba/qwen3.8-max d26dec3eaaa0 Tue, 25 Aug 2026 00:00:00 GMT model_added: Qwen3.8 Max via cloudflare-ai-gateway https://www.vaanalytics.in/m/alibaba/qwen3-coder-plus 4d0d9dff402d Mon, 24 Aug 2026 00:00:00 GMT cost.input: 6 → 1; cost.output: 60 → 5; cost.cache_read: 1.2 → 0.2; cost.cache_write: 7.5 → 1.25 https://www.vaanalytics.in/m/alibaba/qwen3-max a56e228f9997 Mon, 24 Aug 2026 00:00:00 GMT cost.input: 3 → 1.2; cost.output: 15 → 6; cost.cache_read: 0.6 → 0.24; cost.cache_write: 3.75 → 1.5 https://www.vaanalytics.in/m/alibaba/qwen3.6-plus c78196c3568b Mon, 24 Aug 2026 00:00:00 GMT limit.context: 262144 → 1000000; cost.cache_write: null → 0.625 https://www.vaanalytics.in/m/alibaba/qwen3.6-35b-a3b d866e77ddf00 Mon, 24 Aug 2026 00:00:00 GMT cost.input: 0.248 → 0.375; cost.output: 1.485 → 2.25